Computational Statistics & Data Analysis, Volume 53

Volume 53, Number 1, September 2008

• 
  Mohamed Bentarzi, Fayçal Hamdi:
  Mixture periodic autoregressive conditional heteroskedastic models. 1-16
• 
  Hsiuying Wang:
  Coverage probability of prediction intervals for discrete random variables. 17-26
• 
  Qin Yu, Wan Tang, Yan Ma, S. A. Gamble, X. M. Tu:
  Comparing multiple sensitivities and specificities with different diagnostic criteria: Applications to sexual abuse and sexual health research. 27-37
• 
  John W. Lau, Mike K. P. So:
  Bayesian mixture of autoregressive models. 38-60
• 
  Christiane Belitz, Stefan Lang:
  Simultaneous selection of variables and smoothing parameters in structured additive regression models. 61-81
• 
  Julie Josse, Jérôme Pagès, François Husson:
  Testing the significance of the RV coefficient. 82-91
• 
  Ignacio Vidal, Pilar Iglesias:
  Comparison between a measurement error model and a linear model without measurement error. 92-102
• 
  Steen Magnussen, Rob Reeves:
  A method for bias-reduction of sample-based MLE of the autologistic model. 103-111
• 
  Wei Liu, Lang Wu:
  A semiparametric nonlinear mixed-effects model with non-ignorable missing data and measurement errors for HIV viral data. 112-122
• 
  Robert B. Gramacy, Herbert K. H. Lee:
  Gaussian processes and limiting linear models. 123-136
• 
  Helmut Herwartz, F. Siedenburg:
  Homogenous panel unit root tests under cross sectional dependence: Finite sample modifications and the wild bootstrap. 137-150
• 
  Ana M. Aguilera, Manuel Escabias, Mariano J. Valderrama:
  Discussion of different logistic models with functional data. Application to Systemic Lupus Erythematosus. 151-163
• 
  Shurong Zheng:
  Selection of components and degrees of smoothing via lasso in high dimensional nonparametric additive models. 164-175
• 
  Jie Sun, Karen A. Kopciuk, Xuewen Lu:
  Polynomial spline estimation of partially linear single-index proportional hazards regression models. 176-188
• 
  F. Javier Fernández-Macho:
  Spectral estimation of a structural thin-plate smoothing model. 189-195
• 
  Roberto Dorta-Guerra, Enrique González-Dávila, Josep Ginebra:
  Two-level experiments for binary response data. 196-208
• 
  Kung-Jong Lui, Kuang-Chao Chang:
  Testing homogeneity of risk difference in stratified randomized trials with noncompliance. 209-221
• 
  Sohee Oh, Keumhee Chough Carriere, Taesung Park:
  Model diagnostic plots for repeated measures data using the generalized estimating equations approach. 222-232
• 
  Shuwen Wan, Biao Zhang:
  Comparing correlated ROC curves for continuous diagnostic tests under density ratio models. 233-245

Volume 53, Number 2, December 2008

• 
  Radoslav Harman, Tomás Jurík:
  Computing c-optimal experimental designs using the simplex method of linear programming. 247-254
• 
  Carlos Rivero, Teófilo Valdés:
  An algorithm for robust linear estimation with grouped data. 255-271
• 
  Roman Liesenfeld, Jean-François Richard:
  Improving MCMC, using efficient importance sampling. 272-288
• 
  Quentin F. Stout:
  Unimodal regression via prefix isotonic regression. 289-297
• 
  Matthias Schmid, Torsten Hothorn:
  Boosting additive models using component-wise P-Splines. 298-311
• 
  Holger Dette, Andrey Pepelyshev, Anatoly A. Zhigljavsky:
  Improving updating rules in multiplicative algorithms for computing D-optimal designs. 312-320
• 
  Ching-Hui Chang, Nabendu Pal:
  Testing on the common mean of several normal distributions. 321-333
• 
  Jae Keun Yoo, R. Dennis Cook:
  Response dimension reduction for the conditional mean in multivariate regression. 334-343
• 
  Sarantis Tsiaplias:
  Factor estimation using MCMC-based Kalman filter methods. 344-353
• 
  Pier Luigi Conti, Daniela Marella, Mauro Scanu:
  Evaluation of matching noise for imputation techniques based on nonparametric local linear regression estimators. 354-365
• 
  Narayanaswamy Balakrishnan, Marco Burkschat, Erhard Cramer, Glenn Hofmann:
  Fisher information based progressive censoring plans. 366-380
• 
  Robert A. Rigby, D. M. Stasinopoulos, C. Akantziliotou:
  A framework for modelling overdispersed count data, including the Poisson-shifted generalized inverse Gaussian distribution. 381-393
• 
  Mingue Park, HyungJun Cho:
  Minimum MSE regression estimator with estimated population quantities of auxiliary variables. 394-404
• 
  Juned Siddique, Thomas R. Belin:
  Using an Approximate Bayesian Bootstrap to multiply impute nonignorable missing data. 405-415
• 
  M. Rauf Ahmad, Carola Werner, Edgar Brunner:
  Analysis of high-dimensional repeated measures designs: The one sample case. 416-427
• 
  Stelios D. Georgiou:
  Modelling by supersaturated designs. 428-435
• 
  Rolando De la Cruz:
  Bayesian non-linear regression models with skew-elliptical errors: Applications to the classification of longitudinal profiles. 436-449
• 
  Jalmar M. F. Carrasco, Edwin M. M. Ortega, Gauss M. Cordeiro:
  A generalized modified Weibull distribution for lifetime modeling. 450-462
• 
  Anthony J. Hayter, Jongphil Kim, Wei Liu:
  Critical point computations for one-sided and two-sided pairwise comparisons of three treatment means. 463-470
• 
  Sundarraman Subramanian, Derek Bean:
  The missing censoring indicator model and the smoothed bootstrap. 471-476
• 
  Jin Seon Kim, Bong-Jin Yum:
  Selection between Weibull and lognormal distributions: A comparative simulation study. 477-485
• 
  Takuya Yamano, Kodai Sato, Taisei Kaizoji, Jan-Michael Rost, Lukas Pichl:
  Symbolic analysis of indicator time series by quantitative sequence alignment. 486-495
• 
  Zhang Wu, Mei Yang, Wei Jiang, Michael B. C. Khoo:
  Optimization designs of the combined Shewhart-CUSUM control charts. 496-506
• 
  Fabrizia Mealli, Barbara Pacini:
  Comparing principal stratification and selection models in parametric causal inference with nonignorable missingness. 507-516
• 
  Angelika van der Linde:
  Variational Bayesian functional PCA. 517-533
• 
  George Kapetanios:
  Bootstrap-based tests for deterministic time-varying coefficients in regression models. 534-545
• 
  Hua Liang, Haiyan Su, Guohua Zou:
  Confidence intervals for a common mean with missing data with applications in an AIDS study. 546-553
• 
  Chia-Cheng Chen, Huiman X. Barnhart:
  Comparison of ICC and CCC for assessing agreement for data without and with replications. 554-564
• 
  Lyudmila Sakhanenko:
  Testing for ellipsoidal symmetry: A comparison study. 565-581

Volume 53, Number 3, January 2009

• 
  Lutz Edler, Jae Won Lee, Martina Mittlböck, Joyce C. Niland, Norbert Victor:
  Computational statistics within clinical research. 583-585
• 
  Michael W. Sill, Allan R. Sampson:
  Drop-the-losers design: Binomial case. 586-595
• 
  Chul Ahn, Fan Hu, Celette Sugg Skinner:
  Effect of imbalance and intracluster correlation coefficient in cluster randomized trials with binary outcomes. 596-602
• 
  Andrew C. Leon, Moonseong Heo:
  Sample sizes required to detect interactions between two binary fixed-effects in a mixed-effects linear regression model. 603-608
• 
  Daniel L. Gillen:
  A random walk approach for quantifying uncertainty in group sequential survival trials. 609-620
• 
  Man-Lai Tang, Maozai Tian:
  Asymptotic confidence interval construction for risk difference under inverse sampling. 621-631
• 
  Nick R. Parsons, Matthew L. Costa, Juul Achten, Nigel Stallard:
  Repeated measures proportional odds logistic regression analysis of ordinal score data in the statistical software package R. 632-641
• 
  J. Antic, C. M. Laffont, Djalil Chafaï, Didier Concordet:
  Comparison of nonparametric methods in nonlinear mixed effects models. 642-656
• 
  Maria João Costa, J. Ewart H. Shaw:
  Parametrization and penalties in spline models with an application to survival analysis. 657-670
• 
  Daniel Frobish, Nader Ebrahimi:
  Parametric estimation of change-points for actual event data in recurrent events models. 671-682
• 
  Serigne N. Lô, Stephane Heritier, Malcolm Hudson:
  Saddlepoint approximation for semi-Markov processes with application to a cardiovascular randomised study. 683-698
• 
  Pulak Ghosh, Paul S. Albert:
  A Bayesian analysis for longitudinal semicontinuous data with an application to an acupuncture clinical trial. 699-706
• 
  John H. Page, Andrea Rotnitzky:
  Estimation of the disease-specific diagnostic marker distribution under verification bias. 707-717
• 
  Werner Adler, Berthold Lausen:
  Bootstrap estimated true and false positive rates and ROC curve. 718-729
• 
  Frank Konietschke, Edgar Brunner:
  Nonparametric analysis of clustered data in diagnostic trials: Estimation problems in small sample sizes. 730-741
• 
  José Antonio Roldán Nofuentes, Juan de Dios Luna del Castillo, Miguel Ángel Montero Alonso:
  Determining sample size to evaluate and compare the accuracy of binary diagnostic tests in the presence of partial disease verification. 742-755
• 
  Tae Young Yang:
  Efficient multi-class cancer diagnosis algorithm, using a global similarity pattern. 756-765
• 
  Christina M. R. Kitchen, Jing Kroll, Daniel R. Kuritzkes, Erik Bloomquist, Steven G. Deeks, Marc A. Suchard:
  Two-way Bayesian hierarchical phylogenetic models: An application to the co-evolution of gp120 and gp41 during and after enfuvirtide treatment. 766-775
• 
  Siegfried Kropf, Jürgen Läuter, Daniela Kose, Dietrich von Rosen:
  Comparison of exact parametric tests for high-dimensional data. 776-787
• 
  Cheng Cheng:
  Internal validation inferences of significant genomic features in genome-wide screening. 788-800
• 
  Joseph Sexton, Petter Laake:
  Standard errors for bagged and random forest estimators. 801-811
• 
  Gerd K. Rosenkranz:
  Modeling laboratory data from clinical trials. 812-819
• 
  Inmaculada B. Aban, Gary R. Cutter, Nsoki Mavinga:
  Inferences and power analysis concerning two negative binomial distributions with an application to MRI lesion counts data. 820-833
• 
  Rachel L. O'Connell, H. Malcolm Hudson:
  Risk of mortality after acute myocardial infarction: Performance of model updating methods for application in different geographical regions. 834-846

Volume 53, Number 4, February 2009

Section I: Computational Statistics

• 
  Ahad Jamalizadeh, Mohsen Khosravi, Narayanaswamy Balakrishnan:
  Recurrence relations for distributions of a skew-t and a linear combination of order statistics from a bivariate-t. 847-852
• 
  Huan Liu, Yongqiang Tang, Hao Helen Zhang:
  A new chi-square approximation to the distribution of non-negative definite quadratic forms in non-central normal variables. 853-856
• 
  Ibrahim A. Ahmad, Mohammad B. Sepehrifar:
  On testing alternative classes of life distribution with guaranteed survival times. 857-864
• 
  Faming Liang, Jian Zhang:
  Learning Bayesian networks for discrete data. 865-876
• 
  Irene Klugkist, Herbert Hoijtink:
  Obtaining similar null distributions in the normal linear model using computational methods. 877-888
• 
  Johan Lim, Xinlei Wang, Wanseok Choi:
  Maximum likelihood estimation of ordered multinomial probabilities by geometric programming. 889-893
• 
  Dimitris Karlis:
  A note on the exponential Poisson distribution: A nested EM algorithm. 894-899
• 
  Panagiotis Papastamoulis, George Iliopoulos:
  Reversible Jump MCMC in mixtures of normal distributions with the same component means. 900-911
• 
  Jooyong Shim, Changha Hwang:
  Support vector censored quantile regression under random censoring. 912-919
• 
  Sue J. Welham, Robin Thompson:
  A note on bimodality in the log-likelihood function for penalized spline mixed models. 920-931
• 
  Howard L. Weinert:
  A fast compact algorithm for cubic spline smoothing. 932-940
• 
  Junko Murakami:
  Bayesian posterior mean estimates for Poisson hidden Markov models. 941-955
• 
  Debasis Kundu, Arabin Kumar Dey:
  Estimating the parameters of the Marshall-Olkin bivariate Weibull distribution by EM algorithm. 956-965
• 
  Yushi Endo, Akimichi Takemura:
  Iterative proportional scaling via decomposable submodels for contingency tables. 966-978
• 
  Nickolay T. Trendafilov, Karen Vines:
  Simple and interpretable discrimination. 979-989
• 
  Xiaoping Shi, Yuehua Wu, Baiqi Miao:
  Strong convergence rate of estimators of change point and its application. 990-998
• 
  Samuel D. Oman:
  Easily simulated multivariate binary distributions with given positive and negative correlations. 999-1005
• 
  Hisayuki Hara, Akimichi Takemura, Ruriko Yoshida:
  A Markov basis for conditional test of common diagonal effect in quasi-independence model for square contingency tables. 1006-1014
• 
  Lior Rokach:
  Collective-agreement-based pruning of ensembles. 1015-1026

Section II: Statistical Methodology for Data Analysis

• 
  Mohand L. Feddag, S. Bacci:
  Pairwise likelihood for the longitudinal mixed Rasch model. 1027-1037
• 
  Carlos Tenreiro:
  On the choice of the smoothing parameter for the BHEP goodness-of-fit test. 1038-1053
• 
  Subha Chakraborti, Serkan Eryilmaz, Schalk W. Human:
  A phase II nonparametric control chart based on precedence statistics with runs-type signaling rules. 1054-1065
• 
  Pulak Ghosh, Cristian L. Bayes, Victor H. Lachos:
  A robust Bayesian approach to null intercept measurement error model with application to dental data. 1066-1079
• 
  Guangyong Zou, Wenyi Huang, Xiaohe Zhang:
  A note on confidence interval estimation for a linear function of binomial proportions. 1080-1085
• 
  Tom F. Wilderjans, Eva Ceulemans, Iven Van Mechelen:
  Simultaneous analysis of coupled data blocks differing in size: A comparison of two weighting schemes. 1086-1098
• 
  Jeffrey N. Jonkman, Patrick D. Gerard, William H. Swallow:
  Estimating probabilities under the three-parameter gamma distribution using composite sampling. 1099-1109
• 
  Juanjuan Fan, Martha E. Nunn, Xiaogang Su:
  Multivariate exponential survival trees and their application to tooth prognosis. 1110-1121
• 
  Sung-Ho Kim, Hyemi Choi, Sangjin Lee:
  Estimate-based goodness-of-fit test for large sparse multinomial distributions. 1122-1131
• 
  Xingzhong Xu, Xiaobo Ding, Shuran Zhao:
  New goodness-of-fit tests based on fiducial empirical distribution function. 1132-1141
• 
  Cécile Proust-Lima, Pierre Joly, Jean-François Dartigues, Hélène Jacqmin-Gadda:
  Joint modelling of multivariate longitudinal outcomes and a time-to-event: A nonlinear latent class approach. 1142-1154
• 
  Gauss M. Cordeiro, Marinho Gomes Andrade, Mário de Castro:
  Power series generalized nonlinear models. 1155-1166
• 
  Juha Karvanen:
  Approximate cost-efficient sequential designs for binary response models with application to switching measurements. 1167-1176
• 
  Jiajuan Liang, Man-Lai Tang:
  Generalized F-tests for the multivariate normal mean. 1177-1190
• 
  Philip Prescott:
  Orthogonal-column Latin hypercube designs with small samples. 1191-1200
• 
  James X. Song:
  Sample size for simultaneous testing of rate differences in non-inferiority trials with multiple endpoints. 1201-1207
• 
  Bénédicte Briand, Gilles R. Ducharme, Vanessa Parache, Catherine Mercat-Rommens:
  A similarity measure to assess the stability of classification trees. 1208-1217
• 
  Chun-Xia Zhang, Jiang-She Zhang, Gai-Ying Zhang:
  Using Boosting to prune Double-Bagging ensembles. 1218-1231
• 
  Alun Thomas, Peter J. Green:
  Enumerating the decomposable neighbors of a decomposable graph under a simple perturbation scheme. 1232-1238
• 
  Abbas Moghimbeigi, Mohammad Reza Eshraghian, Kazem Mohammad, Brian McArdle:
  A score test for zero-inflation in multilevel count data. 1239-1248
• 
  Felipe Osorio, Gilberto A. Paula, Manuel Galea:
  On estimation and influence diagnostics for the Grubbs' model under heavy-tailed distributions. 1249-1263
• 
  Simon A. Broda, Marc S. Paolella:
  Evaluating the density of ratios of noncentral quadratic forms in normal variables. 1264-1270
• 
  Nuno Sepúlveda, Carlos Daniel Paulino, Carlos Penha Gonçalves:
  Bayesian analysis of allelic penetrance models for complex binary traits. 1271-1283
• 
  Z. John Daye, X. Jessie Jeng:
  Shrinkage and model selection with correlated variables via weighted fusion. 1284-1298
• 
  Jens Dalgaard Nielsen, Rafael Rumí, Antonio Salmerón:
  Supervised classification using probabilistic decision graphs. 1299-1311
• 
  Dong Wan Shin, Soo Jung Park, Man-Suk Oh:
  A robust sign test for panel unit roots under cross sectional dependence. 1312-1327
• 
  Alaa H. Abdel-Hamid, Essam Khalaf Al-Hussaini:
  Estimation in step-stress accelerated life tests for the exponentiated exponential distribution with type-I censoring. 1328-1338
• 
  Holger Dette, Rafael Weißbach:
  A bootstrap test for the comparison of nonlinear time series. 1339-1349
• 
  Cristian Meza, Florence Jaffrézic, Jean-Louis Foulley:
  Estimation in the probit normal model for binary outcomes using the SAEM algorithm. 1350-1360
• 
  Xueli Liu, Mark C. K. Yang:
  Simultaneous curve registration and clustering for functional data. 1361-1376
• 
  Jacinto Martín, C. J. Pérez:
  Bayesian analysis of a generalized lognormal distribution. 1377-1387
• 
  Philippe Lambert, Paul H. C. Eilers:
  Bayesian density estimation from grouped continuous data. 1388-1399
• 
  Frédéric Ferraty, Philippe Vieu:
  Additive prediction and boosting for functional data. 1400-1413
• 
  Ahlame Douzal Chouakria, Alpha Diallo, Françoise Giroud:
  Adaptive clustering for time series: Application for identifying cell cycle expressed genes. 1414-1426
• 
  Dorival Leao Pinto Junior, Reiko Aoki, G. F. Silva:
  Statistical analysis of proficiency testing results under elliptical distributions. 1427-1439
• 
  Jiujun Zhang, Zhonghua Li, Zhaojun Wang:
  Control chart based on likelihood ratio for monitoring linear profiles. 1440-1448

Section III: Special Applications

• 
  Govert E. Bijwaard, Philip Hans Franses:
  The effect of rounding on payment efficiency. 1449-1461
• 
  Sounak Chakraborty:
  Simultaneous cancer classification and gene selection with Bayesian nearest neighbor method: An integrated approach. 1462-1474
• 
  Jerome P. Reiter, Anna Oganian, Alan F. Karr:
  Verification servers: Enabling analysts to assess the quality of inferences from public use data. 1475-1482
• 
  Eitan Menahem, Asaf Shabtai, Lior Rokach, Yuval Elovici:
  Improving malware detection by applying multi-inducer ensemble. 1483-1494
• 
  Ramesh C. Gupta, Cheng Peng:
  Estimating reliability in proportional odds ratio models. 1495-1510
• 
  Michelli Barros, Gilberto A. Paula, Víctor Leiva:
  An R implementation for generalized Birnbaum-Saunders distributions. 1511-1528

Corrigendum

• 
  Kung-Jong Lui, Kuang-Chao Chang:
  Corrigendum to: "Testing homogeneity of risk difference in stratified randomized trials with noncompliance" [Comput. Statist. Data Anal. 53 (2008) 209-221]. 1529

Volume 53, Number 5, March 2009

• 
  David B. Allison, Peter M. Visscher, Guilherme J. M. Rosa, Christopher I. Amos:
  Statistical genetics & statistical genomics: Where biology, epistemology, statistics, and computation collide. 1531-1534
• 
  Diego Salas-Gonzalez, Ercan E. Kuruoglu, Diego P. Ruiz:
  A heavy-tailed empirical Bayes method for replicated microarray data. 1535-1546
• 
  Claudia Angelini, Daniela De Canditiis, Marianna Pensky:
  Bayesian models for two-sample time-course microarray experiments. 1547-1565
• 
  William M. Muir, Guilherme J. M. Rosa, Barry R. Pittendrigh, Z. Xu, S. D. Rider, Matthew Fountain, Joe Ogas:
  A mixture model approach for the analysis of small exploratory microarray experiments. 1566-1576
• 
  Shih-Huang Chan, Wan-Chi Chang:
  A robust ratio estimator of gene expression via inverse-variance weighting for cDNA microarray images. 1577-1589
• 
  Wessel N. van Wieringen, David Kun, Regina Hampel, Anne-Laure Boulesteix:
  Survival prediction using gene expression data: A review and comparison. 1590-1603
• 
  Stanley Pounds, Shesh N. Rai:
  Assumption adequacy averaging as a concept for developing more robust methods for differential gene expression analysis. 1604-1612
• 
  Víctor Leiva, Antonio Sanhueza, Diana M. Kelmansky, Elena J. Martínez:
  On the glog-normal distribution and its application to the gene expression problem. 1613-1621
• 
  Alexander Gordon, Linlin Chen, Galina V. Glazko, Andrei Yakovlev:
  Balancing type one and two errors in multiple testing for differential expression of genes. 1622-1629
• 
  Guillemette Marot, Jean-Louis Foulley, Florence Jaffrézic:
  A structural mixed model to shrink covariance matrices for time-course differential gene expression studies. 1630-1638
• 
  Juan P. Steibel, Guilherme J. M. Rosa, Robert J. Tempelman:
  Optimizing design of two-stage experiments for transcriptional profiling. 1639-1649
• 
  Rudolph S. Parrish, Horace J. Spencer III, Ping Xu:
  Distribution modeling and simulation of gene expression data. 1650-1660
• 
  Dong Wang, Song Xi Chen:
  Combining quantitative trait loci analyses and microarray data: An empirical likelihood approach. 1661-1673
• 
  Ping Xu, Guy N. Brock, Rudolph S. Parrish:
  Modified linear discriminant analysis approaches for classification of high-dimensional microarray data. 1674-1687
• 
  Daniel Hunt, Cheng Cheng, Stanley Pounds:
  The beta-binomial distribution for estimating the number of false rejections in microarray gene expression studies. 1688-1700
• 
  Abbas Khalili, Tim Hui-Ming Huang, Shili Lin:
  A robust unified approach to analyzing methylation and gene expression data. 1701-1710
• 
  Ella Bingham, Heikki Mannila:
  Complexity control in a mixture model by the Hardy-Weinberg equilibrium. 1711-1719
• 
  Julia L. Sharp, John J. Borkowski, Denise Schmoyer, Don Simone Daly, Samuel O. Purvine, William R. Cannon, Gregory B. Hurst:
  Statistically appraising process quality of affinity isolation experiments. 1720-1726
• 
  Insuk Sohn, Jooyong Shim, Changha Hwang, Sujong Kim, Jae Won Lee:
  Informative transcription factor selection using support vector machine-based generalized approximate cross validation criteria. 1727-1735
• 
  Jooyong Shim, Insuk Sohn, Sujong Kim, Jae Won Lee, Paul E. Green, Changha Hwang:
  Selecting marker genes for cancer classification using supervised weighted kernel clustering and the support vector machine. 1736-1742
• 
  Tae Young Yang:
  Simple Bayesian binary framework for discovering significant genes and classifying cancer diagnosis. 1743-1754
• 
  Laura K. Vaughan, Jasmin Divers, Miguel A. Padilla, David T. Redden, Hemant K. Tiwari, Daniel Pomp, David B. Allison:
  The use of plasmodes as a supplement to simulations: A simple example evaluating individual admixture estimation methodologies. 1755-1766
• 
  Zhaohai Li, Hong Zhang, Gang Zheng, Joseph L. Gastwirth, Mitchell H. Gail:
  Excess false positive rate caused by population stratification and disease rate heterogeneity in case-control association studies. 1767-1781
• 
  Juha Karvanen, Sangita Kulathinal, Dario Gasbarra:
  Optimal designs to select individuals for genotyping conditional on observed binary or survival outcomes and non-genetic covariates. 1782-1793
• 
  Yan V. Sun, Douglas M. Jacobsen, Stephen T. Turner, Eric Boerwinkle, Sharon L. R. Kardia:
  Fast implementation of a scan statistic for identifying chromosomal patterns of genome wide association studies. 1794-1801
• 
  Linda Hartman, Ola Hössjer, Keith Humphreys:
  Utilizing identity-by-descent probabilities for genetic fine-mapping in population based samples, via spatial smoothing of haplotype effects. 1802-1817
• 
  Alun Thomas:
  Estimation of graphical models whose conditional independence graphs are interval graphs and its application to modelling linkage disequilibrium. 1818-1828
• 
  Heejong Sung, Fei Ji, Deborah L. Levy, Steven Matthysse, Nancy Role Mendell:
  The power of linkage analysis of a disease-related endophenotype using asymmetrically ascertained sib pairs. 1829-1842
• 
  Jung-Yu Cheng, Shinn-Jia Tzeng:
  Parametric and semiparametric methods for mapping quantitative trait loci. 1843-1849
• 
  Daniel Shriner, Nengjun Yi:
  Deviance information criterion (DIC) in Bayesian multiple QTL mapping. 1850-1860
• 
  Natalya Usotskaya, Boris Ryabko:
  Application of information-theoretic tests for the analysis of DNA sequences based on Markov chain models. 1861-1872
• 
  Darfiana Nur, David Allingham, Judith Rousseau, Kerrie L. Mengersen, Ross McVinish:
  Bayesian hidden Markov model for DNA sequence segmentation: A prior sensitivity analysis. 1873-1882
• 
  P. Narain:
  Transmission Disequilibrium Test (TDT) for a pair of linked marker loci. 1883-1893
• 
  Nicolas Verzelen, Fanny Villers:
  Tests for Gaussian graphical models. 1894-1905
• 
  Nicola Lama, Patrizia Boracchi, Elia Biganzoli:
  Exploration of distributional models for a novel intensity-dependent normalization procedure in censored gene expression data. 1906-1922

Volume 53, Number 6, April 2009

• 
  David A. Belsley, Russell Davidson, Erricos John Kontoghiorghes, James G. MacKinnon, Herman K. van Dijk:
  The fourth special issue on Computational Econometrics. 1923-1924
• 
  Tomohiro Ando:
  Bayesian inference for the hazard term structure with functional predictors using Bayesian predictive information criteria. 1925-1939
• 
  Josu Arteche, Jesus Orbe:
  Using the bootstrap for finite sample confidence intervals of the log periodogram regression. 1940-1953
• 
  Dietmar Bauer, Martin Wagner:
  Using subspace algorithm cointegration analysis: Simulation performance and application to the term structure. 1954-1973
• 
  Luc Bauwens, F. Galli:
  Efficient importance sampling for ML estimation of SCD models. 1974-1992
• 
  Cathy W. S. Chen, Richard Gerlach, D. C. M. Wei:
  Bayesian causal effects in quantiles: Accounting for heteroscedasticity. 1993-2007
• 
  Marie-Claude Beaulieu, Jean-Marie Dufour, Lynda Khalaf:
  Finite sample multivariate tests of asset pricing models with coskewness. 2008-2021
• 
  Svetlana Borovkova, Ferry J. Permana:
  Implied volatility in oil markets. 2022-2039
• 
  Taoufik Bouezmarni, Jeroen V. K. Rombouts:
  Semiparametric multivariate density estimation for positive data using copulas. 2040-2054
• 
  Arie ten Cate:
  Solving models with inequalities using standard econometric software. 2055-2060
• 
  Baoline Chen, Peter A. Zadrozny:
  Multi-step perturbation solution of nonlinear differentiable equations applied to an econometric analysis of productivity. 2061-2074
• 
  Carl Chiarella, Hing Hung, Thuy-Duong Tô:
  The volatility structure of the fixed income market under the HJM framework: A nonlinear filtering approach. 2075-2088
• 
  James Davidson, Nigar Hashimzade:
  Type I and type II fractional Brownian motions: A reconsideration. 2089-2106
• 
  Suad Elezovic:
  Functional modelling of volatility in the Swedish limit order book. 2107-2118
• 
  Janet D. Godolphin:
  New formulations for recursive residuals as a diagnostic tool in the fixed-effects linear model with design matrices of arbitrary rank. 2119-2128
• 
  Markus Haas, Stefan Mittnik, Marc S. Paolella:
  Asymmetric multivariate normal mixture GARCH. 2129-2154
• 
  Helmut Herwartz, Fang Xu:
  A new approach to bootstrap inference in functional coefficient models. 2155-2167
• 
  Dean Fantazzini:
  The effects of misspecified marginals and copulas on computing the value at risk: A Monte Carlo study. 2168-2188
• 
  Antonia Febrer, Juan Mora:
  Flexible estimation of wage distributions in the presence of covariates. 2189-2200
• 
  Gianna Figà-Talamanca:
  Testing volatility autocorrelation in the constant elasticity of variance stochastic volatility model. 2201-2218
• 
  Paolo Foschi, Andrea Pascucci:
  Calibration of a path-dependent volatility model: Empirical tests. 2219-2235
• 
  Ricardo Gimeno, Juan M. Nave:
  A genetic algorithm estimation of the term structure of interest rates. 2236-2250
• 
  Luigi Grossi, Fabrizio Laurini:
  A robust forward weighted Lagrange multiplier test for conditional heteroscedasticity. 2251-2263
• 
  Mia Hubert, Peter J. Rousseeuw, Tim Verdonck:
  Robust PCA for skewed data and its outlier map. 2264-2274
• 
  Yonghee Lee, Dong Wan Shin:
  Optimal tests against the alternative hypothesis of panel unit roots. 2275-2283
• 
  Yan Liu, Richard Luger:
  Efficient estimation of copula-GARCH models. 2284-2297
• 
  Marco J. Lombardi, Giorgio Calzolari:
  Indirect estimation of alpha-stable stochastic volatility models. 2298-2308
• 
  Marco J. Lombardi, David Veredas:
  Indirect estimation of elliptical stable distributions. 2309-2324
• 
  Anthony Murphy, Marwan Izzeldin:
  Bootstrapping long memory tests: Some Monte Carlo results. 2325-2334
• 
  Jouchi Nakajima, Yasuhiro Omori:
  Leverage, heavy-tails and correlated jumps in stochastic volatility models. 2335-2353
• 
  Robin Nunkesser, Roland Fried, Karen Schettlinger, Ursula Gather:
  Online analysis of time series by the Q_n estimator. 2354-2362
• 
  Joseph J. Retzer, Ehsan S. Soofi, Refik Soyer:
  Information importance of predictors: Concept, measures, Bayesian inference, and applications. 2363-2377
• 
  P. A. V. B. Swamy, Jatinder S. Mehta, I-Lok Chang, Tamara S. Zimmerman:
  An efficient method of estimating the true value of a population characteristic from its discrepant estimates. 2378-2389
• 
  Teruko Takada:
  Simulated minimum Hellinger distance estimation of stochastic volatility models. 2390-2403
• 
  Makoto Takahashi, Yasuhiro Omori, Toshiaki Watanabe:
  Estimating stochastic volatility models using daily returns and realized volatility simultaneously. 2404-2426
• 
  Emanuele Taufer, Nikolai Leonenko:
  Simulation of Lévy-driven Ornstein-Uhlenbeck processes with given marginal distribution. 2427-2437

Volume 53, Number 7, May 2009

Section I: Computational Statistics

• 
  George Kokolakis, Dimitris Fouskakis:
  Importance partitioning in micro-aggregation. 2439-2445
• 
  Sai Santosh Bangalore, Jelai Wang, David B. Allison:
  How accurate are the extremely small P-values used in genomic research: An evaluation of numerical libraries. 2446-2452
• 
  Nivien Shafik, Gerhard Tutz:
  Boosting nonlinear additive autoregressive time series. 2453-2464
• 
  Min-Qian Liu, Li Zhang:
  An algorithm for constructing mixed-level k-circulant supersaturated designs. 2465-2470
• 
  Jan de Leeuw, Kenneth Lange:
  Sharp quadratic majorization in one dimension. 2471-2484
• 
  Tzung-Pei Hong, Chun-Wei Lin, Yu-Lung Wu:
  Maintenance of fast updated frequent pattern trees for record deletion. 2485-2499
• 
  Karl Mosler, Tatjana Lange, Pavel Bazovkin:
  Computing zonoid trimmed regions of dimension d>2. 2500-2510
• 
  Alaa H. Abdel-Hamid:
  Constant-partially accelerated life tests for Burr type-XII distribution with progressive type-II censoring. 2511-2523

Section II: Statistical Methodology for Data Analysis

• 
  Edmond H. C. Wu, Philip L. H. Yu, Wai Keung Li:
  A smoothed bootstrap test for independence based on mutual information. 2524-2536
• 
  Lihua An, Sévérien Nkurunziza, Karen Y. Fung, Daniel Krewski, Isaac Luginaah:
  Shrinkage estimation in general linear models. 2537-2549
• 
  Jiguo Cao, James O. Ramsay:
  Generalized profiling estimation for global and adaptive penalized spline smoothing. 2550-2562
• 
  Qiang Wu, Allan R. Sampson:
  Mixture modeling with applications in schizophrenia research. 2563-2572
• 
  Tatiane F. N. Melo, Silvia L. P. Ferrari, Francisco Cribari-Neto:
  Improved testing inference in mixed linear models. 2573-2582
• 
  Michael G. Kenward, James H. Roger:
  An improved approximation to the precision of fixed effects from restricted maximum likelihood. 2583-2595
• 
  Yves G. Berger, Juan Francisco Muñoz, Eric Rancourt:
  Variance estimation of survey estimates calibrated on estimated control totals - An application to the extended regression estimator and the regression composite estimator. 2596-2604
• 
  Elizabeth J. Malloy, Donna Spiegelman, Ellen A. Eisen:
  Comparing measures of model selection for penalized splines in Cox models. 2605-2616
• 
  Hai-Bin Wang:
  Bayesian estimation and variable selection for single index models. 2617-2627
• 
  Amparo Baíllo, José R. Berrendero, Javier Cárcamo:
  Tests for zero-inflation and overdispersion: A new approach based on the stochastic convex order. 2628-2639
• 
  Hana Sulieman, Ismail Kucuk, P. James McLellan:
  Parametric sensitivity: A case study comparison. 2640-2652
• 
  Petros E. Maravelakis, Philippe Castagliola:
  An EWMA chart for monitoring the process standard deviation when parameters are estimated. 2653-2664
• 
  Lexin Li:
  Exploiting predictor domain information in sufficient dimension reduction. 2665-2672
• 
  S. H. Hsieh, S. M. Lee, P. S. Shen:
  Semiparametric analysis of randomized response data with missing covariates in logistic regression. 2673-2692
• 
  Yunzhao Luo, Zhonghua Li, Zhaojun Wang:
  Adaptive CUSUM control chart with variable sampling intervals. 2693-2701
• 
  Bing Xing Wang:
  Testing for the validity of the assumptions in the exponential step-stress accelerated life-testing model. 2702-2709
• 
  Zeng-Hua Lu:
  Covariate selection in mixture models with the censored response variable. 2710-2723
• 
  Anastasia G. Eleftheraki, Maria Kateri, Ioannis Ntzoufras:
  Bayesian analysis of two dependent 2×2 contingency tables. 2724-2732
• 
  Hongkun Wang, Yichuan Zhao:
  A comparison of some confidence intervals for the mean quality-adjusted lifetime with censored data. 2733-2739
• 
  Joanne Thandrayen, Yan Wang:
  A latent variable regression model for capture-recapture data. 2740-2746
• 
  Wojtek J. Krzanowski, David J. Hand:
  A simple method for screening variables before clustering microarray data. 2747-2753
• 
  Kung-Jong Lui, Kuang-Chao Chang:
  Interval estimation of odds ratio in a stratified randomized clinical trial with noncompliance. 2754-2766

Section III: Special Applications

• 
  Federico Ambrogi, Elia Biganzoli, Patrizia Boracchi:
  Estimating crude cumulative incidences through multinomial logit regression on discrete cause-specific hazards. 2767-2779

Volume 53, Number 8, June 2009

Spatial Statistics: Methods, Models & Computation

• 
  James Paul LeSage, Sudipto Banerjee, Manfred M. Fischer, Peter Congdon:
  Spatial statistics: Methods, models & computation. 2781-2785
• 
  Elvan Ceyhan:
  Overall and pairwise segregation tests based on nearest neighbor contingency tables. 2786-2808
• 
  Liu-Cang Wu, Hui-Qiong Li:
  Summary statistics for measuring the relationship among three types of points in multivariate point patterns. 2809-2816
• 
  Renato M. Assunção, Thaís Correa:
  Surveillance to detect emerging space-time clusters. 2817-2830
• 
  Md. Monir Hossain, Andrew B. Lawson:
  Approximate methods in Bayesian point process spatial models. 2831-2842
• 
  Lionel Cucala:
  A flexible spatial scan test for case event data. 2843-2850
• 
  Tonglin Zhang, Ge Lin:
  Spatial scan statistics in loglinear models. 2851-2858
• 
  Roger Bivand, Werner G. Müller, Markus Reder:
  Power calculations for global and local Moran's I. 2859-2872
• 
  Andrew O. Finley, Huiyan Sang, Sudipto Banerjee, Alan E. Gelfand:
  Improving the performance of predictive process modeling for large datasets. 2873-2884
• 
  David Bolin, Johan Lindström, Lars Eklundh, Finn Lindgren:
  Fast estimation of spatially dependent temporal vegetation trends using Gaussian Markov random fields. 2885-2896
• 
  Badi H. Baltagi, Seuck Heun Song, Jae Hyeok Kwon:
  Testing for heteroskedasticity and spatial correlation in a random effects panel data model. 2897-2922
• 
  Robert Haining, Jane Law, Daniel A. Griffith:
  Modelling small area counts in the presence of overdispersion and spatial autocorrelation. 2923-2937
• 
  María Dolores Ugarte, Tomás Goicoa, Ana F. Militino:
  Empirical Bayes and Fully Bayes procedures to detect high-risk areas in disease mapping. 2938-2949
• 
  Ying C. MacNab, Yi Lin:
  On empirical Bayes penalized quasi-likelihood inference in GLMMs and in Bayesian disease mapping and ecological modeling. 2950-2967
• 
  Dae-Jin Lee, María Durbán:
  Smooth-CAR mixed models for spatial count data. 2968-2979
• 
  Oleg A. Smirnov, Luc Anselin:
  An O(N) parallel method of computing the Log-Jacobian of the variable transformation for models with spatial interaction on a lattice. 2980-2988
• 
  Jungsoon Choi, Montserrat Fuentes, Brian J. Reich:
  Spatial-temporal association between fine particulate matter and daily mortality. 2989-3000
• 
  Laura A. Hatfield, Richard W. Hoffbeck, Bruce H. Alexander, Bradley P. Carlin:
  Spatiotemporal and spatial threshold models for relating UV exposures and skin cancer in the central United States. 3001-3015
• 
  Emily Lei Kang, Desheng Liu, Noel Cressie:
  Statistical analysis of small-area data based on independence, spatial, non-hierarchical, and hierarchical models. 3016-3032
• 
  Gentry White, Sujit K. Ghosh:
  A stochastic neighborhood conditional autoregressive model for spatial data. 3033-3046
• 
  Peter Congdon:
  Modelling the impact of socioeconomic structure on spatial health outcomes. 3047-3056
• 
  Melanie M. Wall, Xuan Liu:
  Spatial latent class analysis model for spatially distributed multivariate binary data. 3057-3069
• 
  Florent Bonneu, Christine Thomas-Agnan:
  Spatial point process models for location-allocation problems. 3070-3081
• 
  Liliane Bel, Denis Allard, Jean-Marie Laurent, Rachid Cheddadi, Avner Bar-Hen:
  CART algorithm for spatial data: Application to environmental and ecological data. 3082-3093
• 
  Jincao Wu, Tasneem H. Patwa, David M. Lubman, Debashis Ghosh:
  Identification of differentially expressed spatial clusters using humoral response microarray data. 3094-3102

Special Issue on Correspondence Analysis and Related Methods

• 
  Jörg Blasius, Michael Greenacre, Patrick J. F. Groenen, Michel van de Velden:
  Special issue on correspondence analysis and related methods. 3103-3106
• 
  Michael Greenacre:
  Power transformations in correspondence analysis. 3107-3116
• 
  Marike Polak, Willem J. Heiser, Mark de Rooij:
  Two types of single-peaked data: Correspondence analysis as an alternative to principal component analysis. 3117-3128
• 
  Michel van de Velden, Patrick J. F. Groenen, Jeroen Poblome:
  Seriation by constrained correspondence analysis: A simulation study. 3129-3138
• 
  Matthijs J. Warrens, Willem J. Heiser:
  Diagnostics for regression dependence in tables re-ordered by the dominant correspondence analysis solution. 3139-3144
• 
  Jörg Blasius, Paul H. C. Eilers, John C. Gower:
  Better biplots. 3145-3158
• 
  Yoshio Takane, Sunho Jung:
  Regularized nonsymmetric correspondence analysis. 3159-3170
• 
  Amaya Zárraga, Beatriz Goitisolo:
  Simultaneous analysis and multiple factor analysis for contingency tables: Two methods for the joint study of contingency tables. 3171-3182
• 
  Cajo J. F. ter Braak, Yiannis Kourmpetis, Henk A. L. Kiers, Marco C. A. M. Bink:
  Approximating a similarity matrix by a latent class model: A reappraisal of additive fuzzy clustering. 3183-3193
• 
  Maurizio Vichi, Gilbert Saporta:
  Clustering and disjoint principal component analysis. 3194-3208
• 
  Mark de Rooij:
  Trend vector models for the analysis of change in continuous time for multiple groups. 3209-3216
• 
  Wayne S. DeSarbo, A. Selin Atalay, Simon J. Blanchard:
  A three-way clusterwise multidimensional unfolding procedure for the spatial representation of context dependent preferences. 3217-3230
• 
  José Fernando Vera, Rodrigo Macías, Willem J. Heiser:
  A dual latent class unfolding model for two-way two-mode preference rating data. 3231-3244
• 
  Henri Caussinus:
  Book review. 3245-3246
• 
  Ken Reed:
  Book review. 3247-3248
• 
  Niël J. le Roux:
  Book review. 3249-3251
• 
  Antoine de Falguerolles:
  Book review. 3252-3255
• 
  Ludovic Lebart:
  Book review. 3256-3257

Volume 53, Number 9, July 2009

Section I: Computational Statistics

• 
  Achim Zeileis, Kurt Hornik, Paul Murrell:
  Escaping RGBland: Selecting colors for statistical graphics. 3259-3270
• 
  María Jesús Rufo, Jacinto Martín, C. J. Pérez:
  Inference on exponential families with mixture of prior distributions. 3271-3280
• 
  Chien-Tai Lin, N. Balakrishnan:
  Exact computation of the null distribution of a test for multiple outliers in an exponential sample. 3281-3290
• 
  Felix Carbonell, Keith J. Worsley, Nelson J. Trujillo-Barreto, M. Vega-Hernandez:
  The geometry of time-varying cross-correlation random fields. 3291-3304

Section II: Statistical Methodology for Data Analysis

• 
  Krishna K. Saha, Roger Bilisoly:
  Testing the homogeneity of the means of several groups of count data in the presence of unequal dispersions. 3305-3313
• 
  Guo-Liang Tian, Kai Wang Ng, Kai-Can Li, Ming Tan:
  Non-iterative sampling-based Bayesian methods for identifying changepoints in the sequence of cases of Haemolytic uraemic syndrome. 3314-3323
• 
  Steve Su:
  Confidence intervals for quantiles using generalized lambda distributions. 3324-3333
• 
  Lei Yu, Suzanne L. Tyas, David A. Snowdon, Richard J. Kryscio:
  Effects of ignoring baseline on modeling transitions from intact cognition to dementia. 3334-3343
• 
  Pablo Martínez-Camblor, Jacobo de Uña-Álvarez:
  Non-parametric k-sample tests: Density functions vs distribution functions. 3344-3357
• 
  L. Gosoniu, Penelope Vounatsou, N. Sogoba, Nicolas Maire, Thomas A. Smith:
  Mapping malaria risk in West Africa using a Bayesian nonparametric non-stationary model. 3358-3371
• 
  Olha Bodnar, Taras Bodnar, Yarema Okhrin:
  Surveillance of the covariance matrix based on the properties of the singular Wishart distribution. 3372-3385
• 
  Benoit Quenneville, Suzanne Fortier, Christian Gagné:
  A non-parametric iterative smoothing method for benchmarking and temporal distribution. 3386-3396
• 
  Gauss M. Cordeiro, Alexandre B. Simas:
  The distribution of Pearson residuals in generalized linear models. 3397-3411
• 
  Yafen Liu, Zhen He, Lianjie Shu, Zhang Wu:
  Statistical computation and analyses for attribute events. 3412-3425
• 
  Norbert Henze, Yakov Nikitin, Bruno Ebner:
  Integral distribution-free statistics of L_p-type and their asymptotic comparison. 3426-3438
• 
  Moti L. Tiku, Birdal Senoglu:
  Estimation and hypothesis testing in BIB design and robustness. 3439-3451
• 
  Juhyun Park, Theo Gasser, Valentin Rousson:
  Structural components in functional data. 3452-3465
• 
  Heung Wong, Feng Liu, Min Chen, Wai-Cheung Ip:
  Empirical likelihood based diagnostics for heteroscedasticity in partial linear models. 3466-3477
• 
  Feng-Chang Xie, Bo-Cheng Wei, Jin-Guan Lin:
  Score tests for zero-inflated generalized Poisson mixed regression models. 3478-3489

Section III: Special Applications

• 
  Jacobo de Uña-Álvarez, Javier Roca-Pardiñas:
  Additive models in censored regression. 3490-3501
• 
  Ehsan S. Soofi, Paul C. Nystrom, Masoud Yasai-Ardekani:
  Executives' perceived environmental uncertainty shortly after 9/11. 3502-3515
• 
  Mohamed M. Mostafa, Rajan Nataraajan:
  A neuro-computational intelligence analysis of the ecological footprint of nations. 3516-3531

Volume 53, Number 10, August 2009

Section I: Computational Statistics

• 
  Fabian Scheipl, Thomas Kneib:
  Locally adaptive Bayesian P-splines with a Normal-Exponential-Gamma prior. 3533-3552
• 
  Yongzeng Lai:
  Generating inverse Gaussian random variates by approximation. 3553-3559
• 
  Safar Parsi, Ismihan Bairamov:
  Expected values of the number of failures for two populations under joint Type-II progressive censoring. 3560-3570
• 
  Sébastien Loisel, Marina Takane:
  Fast indirect robust generalized method of moments. 3571-3579
• 
  Prasanta Basak, Indrani Basak, N. Balakrishnan:
  Estimation for the three-parameter lognormal distribution based on progressively censored data. 3580-3592

Section II: Statistical Methodology for Data Analysis

• 
  Ana Pérez, Esther Ruiz, Helena Veiga:
  A note on the properties of power-transformed returns in long-memory stochastic volatility models with leverage effect. 3593-3600
• 
  Kim-Anh Lê Cao, Agnès Bonnet, Sébastien Gadat:
  Multiclass classification and gene selection with a stochastic algorithm. 3601-3615
• 
  María Dolores Ugarte, Tomás Goicoa, Ana F. Militino, María Durbán:
  Spline smoothing in small area trend estimation and forecasting. 3616-3629
• 
  Yin Cui, Yuejiao Fu, Abdulkadir Hussein:
  Group sequential testing of homogeneity in genetic linkage analysis. 3630-3639
• 
  Laura Forsberg White, Marco Bonetti, Marcello Pagano:
  The choice of the number of bins for the M statistic. 3640-3649
• 
  Augustine C. M. Wong, Yan Yan Wu:
  A note on interval estimation of P(XY) using lower record data from the generalized exponential distribution. 3650-3658
• 
  Shuo-Jye Wu, Coskun Kus:
  On estimation based on progressive first-failure-censored sampling. 3659-3670
• 
  Ying-Zi Fu, Nian-Sheng Tang, Xing Chen:
  Local influence analysis of nonlinear structural equation models with nonignorable missing outcomes from reproductive dispersion models. 3671-3684
• 
  Ahmed Hossain, Joseph Beyene, Andrew R. Willan, Pingzhao Hu:
  A flexible approximate likelihood ratio test for detecting differential expression in microarray data. 3685-3695
• 
  You-Gan Wang, Quanxi Shao, Min Zhu:
  Quantile regression without the curse of unsmoothness. 3696-3705
• 
  Tao Chen, Elaine B. Martin, Gary A. Montague:
  Robust probabilistic PCA with missing data and contribution analysis for outlier detection. 3706-3716
• 
  José Rodríguez-Avi, Antonio Conde-Sánchez, A. J. Sáez-Castillo, María José Olmo-Jiménez, Ana María Martínez-Rodríguez:
  A generalized Waring regression model for count data. 3717-3725
• 
  M. C. Jones, Daniel A. Henderson:
  Maximum likelihood kernel density estimation: On the potential of convolution sieves. 3726-3733

Volume 53, Number 11, September 2009

Section I: Computational Statistics

• 
  Ji-Hyun Kim:
  Estimating classification error rate: Repeated cross-validation, repeated hold-out and bootstrap. 3735-3745

Section II: Statistical Methodology for Data Analysis

• 
  Sigrunn Holbek Sørbye, Kristian Hindberg, Lena Ringstad Olsen, Håvard Rue:
  Bayesian multiscale feature detection of log-spectral densities. 3746-3754
• 
  Guangyong Zou, Julia Taleban, Cindy Y. Huo:
  Confidence interval estimation for lognormal data with application to health economics. 3755-3764
• 
  Catherine M. Crespi, W. John Boscardin:
  Bayesian model checking for multivariate outcome data. 3765-3772
• 
  Ori Rosen, Wesley K. Thompson:
  A Bayesian regression model for multivariate functional data. 3773-3786
• 
  Klaus L. P. Vasconcellos, L. M. Zea Fernandez:
  Influence analysis with homogeneous linear restrictions. 3787-3794
• 
  Abdessamad Dine, Denis Larocque, François Bellavance:
  Multivariate trees for mixed outcomes. 3795-3804
• 
  Rhonda J. Rosychuk, Shofiqul Islam:
  Parameter estimation in a model for misclassified Markov data - a Bayesian approach. 3805-3816
• 
  Sung Nok Chiu, Kwong-Ip Liu:
  Generalized Cramér-von Mises goodness-of-fit tests for multivariate distributions. 3817-3834
• 
  José A. Villaseñor-Alva, Elizabeth González-Estrada:
  A bootstrap goodness of fit test for the generalized Pareto distribution. 3835-3841
• 
  Fabrizio Laurini, Francesco Pauli:
  Smoothing sample extremes: The mixed model approach. 3842-3854
• 
  Sven Serneels, Tim Verdonck:
  Principal component regression for data containing outliers and missing elements. 3855-3863
• 
  Joanna H. Shih, Shou-En Lu:
  Semiparametric estimation of a nested random effects model for the analysis of multi-level clustered failure time data. 3864-3871
• 
  Cathy Maugis, Gilles Celeux, Marie-Laure Martin-Magniette:
  Variable selection in model-based clustering: A general variable role modeling. 3872-3882
• 
  Jiajuan Liang, Man-Lai Tang, Ping Shing Chan:
  A generalized Shapiro-Wilk W statistic for testing high-dimensional normality. 3883-3891

Section III: Special Applications

• 
  Chivalai Temiyasathit, Seoung Bum Kim, Sun-Kyoung Park:
  Spatial prediction of ozone concentration profiles. 3892-3906

Volume 53, Number 12, October 2009

Section I: Computational Statistics

• 
  Xiaoning Wang, Alan Schumitzky, David Z. D'Argenio:
  Population pharmacokinetic/pharmacodynamic mixture models via maximum a posteriori estimation. 3907-3915
• 
  Na You, Chang Xuan Mao:
  On hierarchical loglinear models in capture-recapture studies. 3916-3920
• 
  Chiara Brombin, Luigi Salmaso:
  Multi-aspect permutation tests in shape analysis with small sample size. 3921-3931
• 
  Arnost Komárek:
  A new R package for Bayesian estimation of multivariate normal mixtures allowing for selection of the number of components and interval-censored data. 3932-3947
• 
  Spyridon J. Hatjispyros, Theodoros Nicoleris, Stephen G. Walker:
  A Bayesian nonparametric study of a dynamic nonlinear model. 3948-3956
• 
  María-Dolores Jiménez-Gamero, V. Alba Fernández, Joaquín Muñoz-García, Yurilev Chalco-Cano:
  Goodness-of-fit tests based on empirical characteristic functions. 3957-3971
• 
  Tatiane F. N. Melo, Klaus L. P. Vasconcellos, Artur J. Lemonte:
  Some restriction tests in a new class of regression models for proportions. 3972-3979
• 
  Kyle A. Caudle, Edward J. Wegman:
  Nonparametric density estimation of streaming data using orthogonal series. 3980-3986
• 
  George von Borries, Haiyan Wang:
  Partition clustering of high dimensional low sample size data based on p-values. 3987-3998
• 
  Jeffrey W. Heath, Michael C. Fu, Wolfgang Jank:
  New global optimization algorithms for model-based clustering. 3999-4017
• 
  Ahad Jamalizadeh, Y. Mehrali, N. Balakrishnan:
  Recurrence relations for bivariate t and extended skew-t distributions and an application to order statistics from bivariate t. 4018-4027
• 
  Ben Calderhead, Mark A. Girolami:
  Estimating Bayes factors via thermodynamic integration and population MCMC. 4028-4045
• 
  Lior Rokach:
  Taxonomy for characterizing ensemble methods in classification tasks: A review and annotated bibliography. 4046-4072

Section II: Statistical Methodology for Data Analysis

• 
  Pulak Ghosh, Lan Huang, Binbing Yu, Ram C. Tiwari:
  Semiparametric Bayesian approaches to joinpoint regression for population-based cancer survival data. 4073-4082
• 
  Bhuvanesh Pareek, Debasis Kundu, Sumit Kumar:
  On progressively censored competing risks data for Weibull distributions. 4083-4094
• 
  Ana M. Bianco, Elena Martínez:
  Robust testing in the logistic regression model. 4095-4105
• 
  Lexin Li, Xiangrong Yin:
  Longitudinal data analysis using sufficient dimension reduction method. 4106-4115
• 
  Chris M. Strickland, Ian W. Turner, Robert Denham, Kerrie L. Mengersen:
  Efficient Bayesian estimation of multivariate state space models. 4116-4125
• 
  Jesse Frey:
  Confidence bands for the CDF when sampling from a finite population. 4126-4132
• 
  Jeffrey Pai, Nalini Ravishanker:
  Maximum likelihood estimation in vector long memory processes via EM algorithm. 4133-4142
• 
  Cibele M. Russo, Gilberto A. Paula, Reiko Aoki:
  Influence diagnostics in nonlinear mixed-effects elliptical models. 4143-4156
• 
  Qin Liu, Nancy R. Cook, Anna Bergström, Chung-Cheng Hsieh:
  A two-stage hierarchical regression model for meta-analysis of epidemiologic nonlinear dose-response data. 4157-4167
• 
  Sabine K. Schnabel, Paul H. C. Eilers:
  Optimal expectile smoothing. 4168-4177
• 
  Yuta Minoda, Takemi Yanagimoto:
  Estimation of a common slope in a gamma regression model with multiple strata: An empirical Bayes method. 4178-4185
• 
  Jialiang Li, Yingcun Xia, Mari Palta, Anoop Shankar:
  Impact of unknown covariance structures in semiparametric models for longitudinal data: An application to Wisconsin diabetes data. 4186-4197
• 
  Sounak Chakraborty:
  Bayesian binary kernel probit model for microarray based cancer classification and gene selection. 4198-4209
• 
  Hsiuying Wang:
  Comparison of p control charts for low defective rate. 4210-4220
• 
  Myoungshic Jhun, Inkyung Choi:
  Bootstrapping least distance estimator in the multivariate regression model. 4221-4227
• 
  Simon D. Woodcock, Gary Benedetto:
  Distribution-preserving statistical disclosure limitation. 4228-4242
• 
  T. Umashanger, T. N. Sriram:
  L₂E estimation of mixture complexity for count data. 4243-4254
• 
  Eduardo Gutiérrez-Peña, Raúl Rueda, Alberto Contreras-Cristán:
  Objective parametric model selection procedures from a Bayesian nonparametric perspective. 4255-4265
• 
  Sung Nok Chiu, Ling Wang:
  Homogeneity tests for several Poisson populations. 4266-4278
• 
  Claire Pinçon, Odile Pons:
  Nonparametric linear tests with multiple events. 4279-4289
• 
  Peter J. Park, J. Manjourides, Marco Bonetti, Marcello Pagano:
  A permutation test for determining significance of clusters with applications to spatial and gene expression data. 4290-4300
• 
  Giuliano Galimberti, Angela Montanari, Cinzia Viroli:
  Penalized factor mixture analysis for variable selection in clustered data. 4301-4310
• 
  Clare A. McGrory, Anthony N. Pettitt, Malcolm J. Faddy:
  A fully Bayesian approach to inference for Coxian phase-type distributions with covariate dependent mean. 4311-4321
• 
  Rosa M. Fernández-Alcalá, Jesús Navarro-Moreno, Juan Carlos Ruiz-Molina:
  Statistical inference for doubly stochastic multichannel Poisson processes: A PCA approach. 4322-4331
• 
  Daniel R. Jeske, Veronica Montes De Oca, Wolfgang Bischoff, Mazda Marvasti:
  Cusum techniques for timeslot sequences with applications to network surveillance. 4332-4344
• 
  Victor De Oliveira, Changxiang Rui:
  On shortest prediction intervals in log-Gaussian random fields. 4345-4357
• 
  Hie-Choon Chung, Chien-Pai Han:
  Conditional confidence intervals for classification error rate. 4358-4369
• 
  Waleed A. Yousef, Subrata Kundu, Robert F. Wagner:
  Nonparametric estimation of the threshold at an operating point on the ROC curve. 4370-4383
• 
  Carl John Scarrott, Granville Tunnicliffe Wilson:
  Spatial multi-taper spectrum estimation for nuclear reactor modelling. 4384-4402
• 
  Feng-Chang Xie, Jin-Guan Lin, Bo-Cheng Wei:
  Diagnostics for skew-normal nonlinear regression models with AR(1) errors. 4403-4416
• 
  Pao-Sheng Shen:
  Semiparametric analysis of survival data with left truncation and right censoring. 4417-4432
• 
  Majid Chahkandi, Mojtaba Ganjali:
  On some lifetime distributions with decreasing failure rate. 4433-4440
• 
  Artur J. Lemonte, Gauss M. Cordeiro:
  Birnbaum-Saunders nonlinear regression models. 4441-4452
• 
  Jaakko Peltonen, Jarkko Venna, Samuel Kaski:
  Visualizations for assessing convergence and mixing of Markov chain Monte Carlo simulations. 4453-4470
• 
  Giuseppe Arbia, Gianfranco Piras:
  A new class of spatial concentration measures. 4471-4481
• 
  Giovana Oliveira Silva, Edwin M. M. Ortega, Gauss M. Cordeiro:
  A log-extended Weibull regression model. 4482-4489
• 
  Patrick Richard:
  Modified fast double sieve bootstraps for ADF tests. 4490-4499
• 
  Douglas M. Hawkins, Dost Muhammad Khan:
  A procedure for robust fitting in nonlinear regression. 4500-4507
• 
  Chihiro Hirotsu:
  Clustering rows and/or columns of a two-way contingency table and a related distribution theory. 4508-4515
• 
  Dedi Rosadi:
  Testing for independence in heavy-tailed time series using the codifference function. 4516-4529
• 
  Jennifer So-Kuen Chan, Doris Y. P. Leung, S. T. Boris Choy, Wai-Yin Wan:
  Nonignorable dropout models for longitudinal binary data with random effects: An application of Monte Carlo approximation through the Gibbs output. 4530-4545

Section III: Special Applications

• 
  Jaap Wieringa, Garmt Dijksterhuis, John C. Gower, Frederieke van Perlo:
  Generalised Procrustes Analysis with optimal scaling: Exploring data from a power supplier. 4546-4554
• 
  Barry C. Arnold, Enrique F. Castillo, José María Sarabia:
  On multivariate order statistics. Application to ranked set sampling. 4555-4569
• 
  Timothy D. Johnson, Morand Piert:
  A Bayesian analysis of dual autoradiographic images. 4570-4583
• 
  Rashid Ahmed, Munir Akhtar, Muhammad Hussain Tahir:
  Economical generalized neighbor designs for use in Serology. 4584-4589
• 
  Mark Jones, Annette Dobson, Mark Onslow, Brenda Carey:
  Negative binomial mixed models for analysis of stuttering rates. 4590-4600