# Elsevier

# Computational Statistics & Data Analysis

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### May 2009, Volume 53, Issue 7

**2673-2692 Semiparametric analysis of randomized response data with missing covariates in logistic regression***by*Hsieh, S.H. & Lee, S.M. & Shen, P.S.**2693-2701 Adaptive CUSUM control chart with variable sampling intervals***by*Luo, Yunzhao & Li, Zhonghua & Wang, Zhaojun**2702-2709 Testing for the validity of the assumptions in the exponential step-stress accelerated life-testing model***by*Wang, Bing Xing**2710-2723 Covariate selection in mixture models with the censored response variable***by*Lu, Zeng-Hua**2724-2732 Bayesian analysis of two dependent 22 contingency tables***by*Eleftheraki, Anastasia G. & Kateri, Maria & Ntzoufras, Ioannis**2733-2739 A comparison of some confidence intervals for the mean quality-adjusted lifetime with censored data***by*Wang, Hongkun & Zhao, Yichuan**2740-2746 A latent variable regression model for capture-recapture data***by*Thandrayen, Joanne & Wang, Yan**2747-2753 A simple method for screening variables before clustering microarray data***by*Krzanowski, Wojtek J. & Hand, David J.**2754-2766 Interval estimation of odds ratio in a stratified randomized clinical trial with noncompliance***by*Lui, Kung-Jong & Chang, Kuang-Chao**2767-2779 Estimating crude cumulative incidences through multinomial logit regression on discrete cause-specific hazards***by*Ambrogi, Federico & Biganzoli, Elia & Boracchi, Patrizia

### April 2009, Volume 53, Issue 6

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

### March 2009, Volume 53, Issue 5

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

### February 2009, Volume 53, Issue 4

**847-852 Recurrence relations for distributions of a skew-t and a linear combination of order statistics from a bivariate-t***by*Jamalizadeh, A. & Khosravi, M. & Balakrishnan, N.**853-856 A new chi-square approximation to the distribution of non-negative definite quadratic forms in non-central normal variables***by*Liu, Huan & Tang, Yongqiang & Zhang, Hao Helen**857-864 On testing alternative classes of life distribution with guaranteed survival times***by*Ahmad, Ibrahim A. & Sepehrifar, Mohammad B.**865-876 Learning Bayesian networks for discrete data***by*Liang, Faming & Zhang, Jian**877-888 Obtaining similar null distributions in the normal linear model using computational methods***by*Klugkist, Irene & Hoijtink, Herbert**889-893 Maximum likelihood estimation of ordered multinomial probabilities by geometric programming***by*Lim, Johan & Wang, Xinlei & Choi, Wanseok**894-899 A note on the exponential Poisson distribution: A nested EM algorithm***by*Karlis, Dimitris**900-911 Reversible Jump MCMC in mixtures of normal distributions with the same component means***by*Papastamoulis, Panagiotis & Iliopoulos, George**912-919 Support vector censored quantile regression under random censoring***by*Shim, Jooyong & Hwang, Changha**920-931 A note on bimodality in the log-likelihood function for penalized spline mixed models***by*Welham, S.J. & Thompson, R.**932-940 A fast compact algorithm for cubic spline smoothing***by*Weinert, Howard L.**941-955 Bayesian posterior mean estimates for Poisson hidden Markov models***by*Murakami, Junko**956-965 Estimating the parameters of the Marshall-Olkin bivariate Weibull distribution by EM algorithm***by*Kundu, Debasis & Dey, Arabin Kumar**966-978 Iterative proportional scaling via decomposable submodels for contingency tables***by*Endo, Yushi & Takemura, Akimichi**979-989 Simple and interpretable discrimination***by*Trendafilov, Nickolay T. & Vines, Karen**990-998 Strong convergence rate of estimators of change point and its application***by*Shi, Xiaoping & Wu, Yuehua & Miao, Baiqi**999-1005 Easily simulated multivariate binary distributions with given positive and negative correlations***by*Oman, Samuel D.**1006-1014 A Markov basis for conditional test of common diagonal effect in quasi-independence model for square contingency tables***by*Hara, Hisayuki & Takemura, Akimichi & Yoshida, Ruriko**1015-1026 Collective-agreement-based pruning of ensembles***by*Rokach, Lior**1027-1037 Pairwise likelihood for the longitudinal mixed Rasch model***by*Feddag, M.-L. & Bacci, S.**1038-1053 On the choice of the smoothing parameter for the BHEP goodness-of-fit test***by*Tenreiro, Carlos**1054-1065 A phase II nonparametric control chart based on precedence statistics with runs-type signaling rules***by*Chakraborti, S. & Eryilmaz, S. & Human, S.W.**1066-1079 A robust Bayesian approach to null intercept measurement error model with application to dental data***by*Ghosh, Pulak & Bayes, C.L. & Lachos, V.H.**1080-1085 A note on confidence interval estimation for a linear function of binomial proportions***by*Zou, Guang Yong & Huang, Wenyi & Zhang, Xiaohe**1086-1098 Simultaneous analysis of coupled data blocks differing in size: A comparison of two weighting schemes***by*Wilderjans, Tom & Ceulemans, Eva & Van Mechelen, Iven**1099-1109 Estimating probabilities under the three-parameter gamma distribution using composite sampling***by*Jonkman, Jeffrey N. & Gerard, Patrick D. & Swallow, William H.**1110-1121 Multivariate exponential survival trees and their application to tooth prognosis***by*Fan, Juanjuan & Nunn, Martha E. & Su, Xiaogang**1122-1131 Estimate-based goodness-of-fit test for large sparse multinomial distributions***by*Kim, Sung-Ho & Choi, Hyemi & Lee, Sangjin**1132-1141 New goodness-of-fit tests based on fiducial empirical distribution function***by*Xu, Xingzhong & Ding, Xiaobo & Zhao, Shuran**1142-1154 Joint modelling of multivariate longitudinal outcomes and a time-to-event: A nonlinear latent class approach***by*Proust-Lima, Cécile & Joly, Pierre & Dartigues, Jean-François & Jacqmin-Gadda, Hélène**1155-1166 Power series generalized nonlinear models***by*Cordeiro, Gauss M. & Andrade, Marinho G. & de Castro, Mário**1167-1176 Approximate cost-efficient sequential designs for binary response models with application to switching measurements***by*Karvanen, Juha**1177-1190 Generalized F-tests for the multivariate normal mean***by*Liang, Jiajuan & Tang, Man-Lai**1191-1200 Orthogonal-column Latin hypercube designs with small samples***by*Prescott, Philip**1201-1207 Sample size for simultaneous testing of rate differences in non-inferiority trials with multiple endpoints***by*Song, James X.**1208-1217 A similarity measure to assess the stability of classification trees***by*Briand, Bénédicte & Ducharme, Gilles R. & Parache, Vanessa & Mercat-Rommens, Catherine**1218-1231 Using Boosting to prune Double-Bagging ensembles***by*Zhang, Chun-Xia & Zhang, Jiang-She & Zhang, Gai-Ying**1232-1238 Enumerating the decomposable neighbors of a decomposable graph under a simple perturbation scheme***by*Thomas, Alun & Green, Peter J.**1239-1248 A score test for zero-inflation in multilevel count data***by*Moghimbeigi, Abbas & Eshraghian, Mohammad Reza & Mohammad, Kazem & McArdle, Brian**1249-1263 On estimation and influence diagnostics for the Grubbs' model under heavy-tailed distributions***by*Osorio, Felipe & Paula, Gilberto A. & Galea, Manuel**1264-1270 Evaluating the density of ratios of noncentral quadratic forms in normal variables***by*Broda, S. & Paolella, M.S.**1271-1283 Bayesian analysis of allelic penetrance models for complex binary traits***by*Sepúlveda, Nuno & Paulino, Carlos Daniel & Penha-Gonçalves, Carlos**1284-1298 Shrinkage and model selection with correlated variables via weighted fusion***by*Daye, Z. John & Jeng, X. Jessie**1299-1311 Supervised classification using probabilistic decision graphs***by*Nielsen, Jens D. & Rumí, Rafael & Salmerón, Antonio**1312-1327 A robust sign test for panel unit roots under cross sectional dependence***by*Shin, Dong Wan & Park, Soo Jung & Oh, Man-Suk**1328-1338 Estimation in step-stress accelerated life tests for the exponentiated exponential distribution with type-I censoring***by*Abdel-Hamid, Alaa H. & AL-Hussaini, Essam K.**1339-1349 A bootstrap test for the comparison of nonlinear time series***by*Dette, Holger & Weißbach, Rafael**1350-1360 Estimation in the probit normal model for binary outcomes using the SAEM algorithm***by*Meza, Cristian & Jaffrézic, Florence & Foulley, Jean-Louis**1361-1376 Simultaneous curve registration and clustering for functional data***by*Liu, Xueli & Yang, Mark C.K.**1377-1387 Bayesian analysis of a generalized lognormal distribution***by*Martín, J. & Pérez, C.J.**1388-1399 Bayesian density estimation from grouped continuous data***by*Lambert, Philippe & Eilers, Paul H.C.**1400-1413 Additive prediction and boosting for functional data***by*Ferraty, Frédéric & Vieu, Philippe**1414-1426 Adaptive clustering for time series: Application for identifying cell cycle expressed genes***by*Douzal-Chouakria, Ahlame & Diallo, Alpha & Giroud, Françoise**1427-1439 Statistical analysis of proficiency testing results under elliptical distributions***by*Leão Pinto Jr., D. & Aoki, R. & Silva, G.F.**1440-1448 Control chart based on likelihood ratio for monitoring linear profiles***by*Zhang, Jiujun & Li, Zhonghua & Wang, Zhaojun**1449-1461 The effect of rounding on payment efficiency***by*Bijwaard, Govert E. & Franses, Philip Hans**1462-1474 Simultaneous cancer classification and gene selection with Bayesian nearest neighbor method: An integrated approach***by*Chakraborty, Sounak**1475-1482 Verification servers: Enabling analysts to assess the quality of inferences from public use data***by*Reiter, Jerome P. & Oganian, Anna & Karr, Alan F.**1483-1494 Improving malware detection by applying multi-inducer ensemble***by*Menahem, Eitan & Shabtai, Asaf & Rokach, Lior & Elovici, Yuval**1495-1510 Estimating reliability in proportional odds ratio models***by*Gupta, Ramesh C. & Peng, Cheng**1511-1528 An R implementation for generalized Birnbaum-Saunders distributions***by*Barros, Michelli & Paula, Gilberto A. & Leiva, Víctor**1529-1529 Corrigendum to: "Testing homogeneity of risk difference in stratified randomized trials with noncompliance" [Comput. Statist. Data Anal. 53 (2008) 209-221]***by*Lui, Kung-Jong & Chang, Kuang-Chao

### January 2009, Volume 53, Issue 3

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

### December 2008, Volume 53, Issue 2

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

### September 2008, Volume 53, Issue 1

**1-16 Mixture periodic autoregressive conditional heteroskedastic models***by*Bentarzi, M. & Hamdi, F.**17-26 Coverage probability of prediction intervals for discrete random variables***by*Wang, Hsiuying**27-37 Comparing multiple sensitivities and specificities with different diagnostic criteria: Applications to sexual abuse and sexual health research***by*Yu, Q. & Tang, W. & Ma, Y. & Gamble, S.A. & Tu, X.M.**38-60 Bayesian mixture of autoregressive models***by*Lau, John W. & So, Mike K.P.