# Elsevier

# Computational Statistics & Data Analysis

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### 2010, Volume 54, Issue 7

**1824-1839 Bayesian skew selection for multivariate models***by*Panagiotelis, Anastasios & Smith, Michael**1840-1857 Series of randomized complete block experiments with non-normal data***by*Bathke, Arne C. & Harrar, Solomon W. & Wang, Haiyan & Zhang, Ke & Piepho, Hans-Peter**1858-1871 Factorial and reduced K-means reconsidered***by*Timmerman, Marieke E. & Ceulemans, Eva & Kiers, Henk A.L. & Vichi, Maurizio**1872-1880 Goodness-of-fit tests for modeling longitudinal ordinal data***by*Lin, Kuo-Chin**1881-1893 An exact permutation method for testing any effect in balanced and unbalanced fixed effect ANOVA***by*Kherad-Pajouh, Sara & Renaud, Olivier

### 2010, Volume 54, Issue 6

**1419-1425 Strict monotonicity and convergence rate of Titterington's algorithm for computing D-optimal designs***by*Yu, Yaming**1426-1433 Obtaining more information from conjoint experiments by best-worst choices***by*Vermeulen, Bart & Goos, Peter & Vandebroek, Martina**1434-1441 Accurate estimation with one order statistic***by*Glen, Andrew G.**1442-1456 An active set algorithm to estimate parameters in generalized linear models with ordered predictors***by*Rufibach, Kaspar**1457-1466 Simplified modeling strategies for surrogate validation with multivariate failure-time data***by*Cortiñas Abrahantes, José & Burzykowski, Tomasz**1467-1474 An EM-like algorithm for the semiparametric accelerated failure time gamma frailty model***by*Xu, Linzhi & Zhang, Jiajia**1475-1483 Simultaneous confidence bands for all contrasts of three or more simple linear regression models over an interval***by*Jamshidian, Mortaza & Liu, Wei & Bretz, Frank**1484-1504 Optimized fixed-size kernel models for large data sets***by*De Brabanter, K. & De Brabanter, J. & Suykens, J.A.K. & De Moor, B.**1505-1515 Optimized U-type designs on flexible regions***by*Lin, D.K.J. & Sharpe, C. & Winker, P.**1516-1524 Binary trees for dissimilarity data***by*Piccarreta, Raffaella**1525-1534 Unified computational methods for regression analysis of zero-inflated and bound-inflated data***by*Yang, Yan & Simpson, Douglas**1535-1546 Ensemble classification based on generalized additive models***by*De Bock, Koen W. & Coussement, Kristof & Van den Poel, Dirk**1547-1558 Bayesian inference and prediction of the inverse Weibull distribution for Type-II censored data***by*Kundu, Debasis & Howlader, Hatem**1559-1569 An EM algorithm for estimating the parameters of bivariate Weibull distribution under random censoring***by*Nandi, Swagata & Dewan, Isha**1570-1580 The aggregate association index***by*Beh, Eric J.**1581-1591 Parameter estimations for generalized exponential distribution under progressive type-I interval censoring***by*Chen, D.G. & Lio, Y.L.**1592-1604 Testing for two components in a switching regression model***by*Dannemann, Jörn & Holzmann, Hajo**1605-1612 A cluster analysis selection strategy for supersaturated designs***by*Li, Peng & Zhao, Shengli & Zhang, Runchu**1613-1621 Estimation of Kendall's tau from censored data***by*Hsieh, Jin-Jian**1622-1633 A Bayesian solution to the multivariate Behrens-Fisher problem***by*Ramos, Patrícia de Siqueira & Ferreira, Daniel Furtado**1634-1645 A control chart based on likelihood ratio test for detecting patterned mean and variance shifts***by*Zhou, Qin & Luo, Yunzhao & Wang, Zhaojun**1646-1656 Incorporating historical control information into quantal bioassay with Bayesian approach***by*Chen, D.G.**1657-1671 Assessing local model adequacy in Bayesian hierarchical models using the partitioned deviance information criterion***by*Wheeler, David C. & Hickson, DeMarc A. & Waller, Lance A.**1672-1682 Distance-based tree models for ranking data***by*Lee, Paul H. & Yu, Philip L.H.**1683-1695 A comparative study of robust designs for M-estimated regression models***by*Wiens, Douglas P. & Wu, Eden K.H.**1696-1706 Testing, monitoring, and dating structural changes in exchange rate regimes***by*Zeileis, Achim & Shah, Ajay & Patnaik, Ila

### 2010, Volume 54, Issue 5

**1197-1205 The Bayesian Additive Classification Tree applied to credit risk modelling***by*Zhang, Junni L. & Härdle, Wolfgang K.**1206-1218 Bayesian estimation of random effects models for multivariate responses of mixed data***by*Wagner, Helga & Tüchler, Regina**1219-1233 k-mean alignment for curve clustering***by*Sangalli, Laura M. & Secchi, Piercesare & Vantini, Simone & Vitelli, Valeria**1234-1246 Score tests for overdispersion in zero-inflated Poisson mixed models***by*Yang, Zhao & Hardin, James W. & Addy, Cheryl L.**1247-1265 Conversion of categorical variables into numerical variables via Bayesian network classifiers for binary classifications***by*Lee, Namgil & Kim, Jong-Min**1266-1280 Influence analyses of skew-normal/independent linear mixed models***by*Zeller, Camila B. & Labra, Filidor V. & Lachos, Victor H. & Balakrishnan, N.**1281-1287 Credible sets for risk ratios in over-reported two-sample binomial data using the double-sampling scheme***by*Rahardja, Dewi & Young, Dean M.**1288-1306 Model selection with the Loss Rank Principle***by*Hutter, Marcus & Tran, Minh-Ngoc**1307-1316 Improved likelihood inference in Birnbaum-Saunders regressions***by*Lemonte, Artur J. & Ferrari, Silvia L.P. & Cribari-Neto, Francisco**1317-1327 Finite-sample investigation of likelihood and Bayes inference for the symmetric von Mises-Fisher distribution***by*Bingham, Melissa A. & Nordman, Daniel J. & Vardeman, Stephen B.**1328-1341 ECM-based maximum likelihood inference for multivariate linear mixed models with autoregressive errors***by*Wang, Wan-Lun & Fan, Tsai-Hung**1342-1354 Using earlier measures in a longitudinal sequence as a potential surrogate for a later one***by*Pryseley, Assam & Tilahun, Abel & Alonso, Ariel & Molenberghs, Geert**1355-1371 Data-driven neighborhood selection of a Gaussian field***by*Verzelen, Nicolas**1372-1380 One-stage multiple comparisons with the control for exponential location parameters under heteroscedasticity***by*Wu, Shu-Fei & Lin, Ying-Po & Yu, Yuh-Ru**1381-1389 Entropy coefficient of determination for generalized linear models***by*Eshima, Nobuoki & Tabata, Minoru**1390-1403 Pattern recognition via projection-based kNN rules***by*Fraiman, Ricardo & Justel, Ana & Svarc, Marcela**1404-1404 Erratum to: "Confidence intervals for quantiles using generalized lambda distributions" [Comput. Statist. Data Anal. 53 (2009) 3324-3333]***by*Su, Steve**1405-1418 Mixtures of GAMs for habitat suitability analysis with overdispersed presence/absence data***by*Pleydell, David R.J. & Chrétien, Stéphane

### 2010, Volume 54, Issue 4

**803-803 On the Use of the Terms Repeatability and Reproducibility Regarding "Reproducibility of genotypes as measured by the Affymetrix GeneChip(R) 100Â K Human Mapping Array Set" by Fridley and colleagues (2008) Comput. Stat. Data Anal. 52:5367-74***by*Vonthein, Reinhard & Ziegler, Andreas**804-805 Comparing two independent samples using the risk difference under inverse sampling***by*Röhmel, Joachim**806-815 Indices for covariance mis-specification in longitudinal data analysis with no missing responses and with MAR drop-outs***by*Hines, R.J. O'Hara & Hines, W.G.S.**816-832 Bayesian density estimation and model selection using nonparametric hierarchical mixtures***by*Argiento, Raffaele & Guglielmi, Alessandra & Pievatolo, Antonio**833-842 A goodness of fit test for the Pareto distribution in the presence of Type II censoring, based on the cumulative hazard function***by*Saldaña-Zepeda, Dayna P. & Vaquera-Huerta, Humberto & Arnold, Barry C.**843-857 RelaxMCD: Smooth optimisation for the Minimum Covariance Determinant estimator***by*Schyns, M. & Haesbroeck, G. & Critchley, F.**858-862 Computing the distribution of quadratic forms: Further comparisons between the Liu-Tang-Zhang approximation and exact methods***by*Duchesne, Pierre & Lafaye De Micheaux, Pierre**863-874 Shewhart-type control charts for variation in phase I data analysis***by*Human, S.W. & Chakraborti, S. & Smit, C.F.**875-890 Robust designs for generalized linear models with possible overdispersion and misspecified link functions***by*Adewale, Adeniyi J. & Xu, Xiaojian**891-905 Penalized spline estimation for functional coefficient regression models***by*Cao, Yanrong & Lin, Haiqun & Wu, Tracy Z. & Yu, Yan**906-915 Inferences on the common mean of several inverse Gaussian populations***by*Ye, Ren-Dao & Ma, Tie-Feng & Wang, Song-Gui**916-923 Allowing for the effect of data binning in a Bayesian Normal mixture model***by*Alston, C.L. & Mengersen, K.L.**924-934 Estimating turning points of the failure rate of the extended Weibull distribution***by*Gupta, Ramesh C. & Lvin, Sergey & Peng, Cheng**935-944 A new distribution with decreasing, increasing and upside-down bathtub failure rate***by*Silva, Rodrigo B. & Barreto-Souza, Wagner & Cordeiro, Gauss M.**945-957 The beta generalized half-normal distribution***by*Pescim, Rodrigo R. & Demétrio, Clarice G.B. & Cordeiro, Gauss M. & Ortega, Edwin M.M. & Urbano, Mariana R.**958-965 Test of fit for a Laplace distribution against heavier tailed alternatives***by*Gel, Yulia R.**966-975 Robust online signal extraction from multivariate time series***by*Lanius, Vivian & Gather, Ursula**976-986 A sparse eigen-decomposition estimation in semiparametric regression***by*Zhu, Li-Ping & Yu, Zhou & Zhu, Li-Xing**987-1001 Is neglected heterogeneity really an issue in binary and fractional regression models? A simulation exercise for logit, probit and loglog models***by*Ramalho, Esmeralda A. & Ramalho, Joaquim J.S.**1002-1016 Assessment of diagnostic procedures in symmetrical nonlinear regression models***by*Vanegas, Luis Hernando & Cysneiros, Francisco José A.**1017-1035 The log-exponentiated Weibull regression model for interval-censored data***by*Hashimoto, Elizabeth M. & Ortega, Edwin M.M. & Cancho, Vicente G. & Cordeiro, Gauss M.**1036-1050 Rank regression for analysis of clustered data: A natural induced smoothing approach***by*Fu, Liya & Wang, You-Gan & Bai, Zhidong**1051-1065 Noise reduction for enhanced component identification in multi-dimensional biomolecular NMR studies***by*Serban, Nicoleta**1066-1078 Unified generalized iterative scaling and its applications***by*Gao, Wei & Shi, Ning-Zhong & Tang, Man-Lai & Fu, Lianyan & Tian, Guoliang**1079-1088 An empirical likelihood-based method for comparison of treatment effects--Test of equality of coefficients in linear models***by*Su, Haiyan & Liang, Hua**1089-1102 Dimension reduction using the generalized gradient direction***by*Zhao, Junlong & Zhao, Xiuli**1103-1108 A simulation study comparing methods for calculating confidence intervals for directly standardized rates***by*Swift, Michael Bruce**1109-1116 A multiple imputation approach to the analysis of interval-censored failure time data with the additive hazards model***by*Chen, Ling & Sun, Jianguo**1117-1123 A variable selection method in principal canonical correlation analysis***by*Ogura, Toru**1124-1137 Quantile map: Simultaneous visualization of patterns in many distributions with application to tandem mass spectrometry***by*Tseng, George C.**1138-1150 Bayesian nonparametric quantile regression using splines***by*Thompson, Paul & Cai, Yuzhi & Moyeed, Rana & Reeve, Dominic & Stander, Julian**1151-1166 Small area estimation with spatial similarity***by*Longford, Nicholas T.**1167-1178 Robust smoothing of gridded data in one and higher dimensions with missing values***by*Garcia, Damien**1179-1189 Modeling epigenetic modifications under multiple treatment conditions***by*Wang, Dong**1190-1196 Polynomial Trendline function flaws in Microsoft Excel***by*Hargreaves, Bruce R. & McWilliams, Thomas P.

### 2010, Volume 54, Issue 3

**609-610 Second special issue on statistical algorithms and software***by*Gatu, Cristian & McCullough, B.D.**611-619 hsmm -- An R package for analyzing hidden semi-Markov models***by*Bulla, Jan & Bulla, Ingo & Nenadic, Oleg**620-624 A note on an iterative algorithm for nonparametric estimation in biased sampling models***by*Davidov, Ori & Iliopoulos, George**625-636 Approximating the critical values of Cramér-von Mises tests in general parametric conditional specifications***by*Escanciano, Juan Carlos & Jacho-Chávez, David T.**637-654 Using combinatorial optimization in model-based trimmed clustering with cardinality constraints***by*Gallegos, María Teresa & Ritter, Gunter**655-667 Finding approximate solutions to combinatorial problems with very large data sets using BIRCH***by*Harrington, Justin & Salibián-Barrera, Matias**668-687 Mining and visualising ordinal data with non-parametric continuous BBNs***by*Hanea, A.M. & Kurowicka, D. & Cooke, R.M. & Ababei, D.A.**688-697 Distributed evolutionary Monte Carlo for Bayesian computing***by*Hu, Bo & Tsui, Kam-Wah**698-710 On variance stabilisation in Population Monte Carlo by double Rao-Blackwellisation***by*Iacobucci, Alessandra & Marin, Jean-Michel & Robert, Christian**711-723 Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models***by*McNicholas, P.D. & Murphy, T.B. & McDaid, A.F. & Frost, D.**724-731 Implementing Bayesian predictive procedures: The K-prime and K-square distributions***by*Poitevineau, Jacques & Lecoutre, Bruno**732-749 Learning mixture models via component-wise parameter smoothing***by*Reddy, Chandan K. & Rajaratnam, Bala**750-766 Acceleration of the EM algorithm via extrapolation methods: Review, comparison and new methods***by*Saâdaoui, Foued**767-778 GAP: A graphical environment for matrix visualization and cluster analysis***by*Wu, Han-Ming & Tien, Yin-Jing & Chen, Chun-houh**779-789 Unbiased generalized quasi-regression***by*Yang, Guijun & Wang, Zhigang & Deng, Wei**790-801 Impact of non-normal random effects on inference by multiple imputation: A simulation assessment***by*Yucel, Recai M. & Demirtas, Hakan

### 2010, Volume 54, Issue 2

**245-261 Nonparametric density estimation for positive time series***by*Bouezmarni, Taoufik & Rombouts, Jeroen V.K.**262-271 Graphical methods for investigating the finite-sample properties of confidence regions***by*de Peretti, Christian & Siani, Carole**272-289 Efficient Monte Carlo computation of Fisher information matrix using prior information***by*Das, Sonjoy & Spall, James C. & Ghanem, Roger**290-297 Kernel-based machine learning for fast text mining in R***by*Karatzoglou, Alexandros & Feinerer, Ingo**298-307 A Bayesian approach to sample size determination for studies designed to evaluate continuous medical tests***by*Cheng, Dunlei & Branscum, Adam J. & Stamey, James D.**308-325 Core Shape modelling of a set of curves***by*Boudaoud, S. & Rix, H. & Meste, O.**326-332 Estimation of the Birnbaum-Saunders regression model with current status data***by*Xiao, Qingchu & Liu, Zaiming & Balakrishnan, N. & Lu, Xuewen**333-347 Constrained linear regression models for symbolic interval-valued variables***by*Lima Neto, Eufrásio de A. & de Carvalho, Francisco de A.T.**348-366 Improved estimators for a general class of beta regression models***by*Simas, Alexandre B. & Barreto-Souza, Wagner & Rocha, Andréa V.**367-373 Inference procedures for the Birnbaum-Saunders distribution and its generalizations***by*Meintanis, Simos G.**374-393 A generalization of Tyler's M-estimators to the case of incomplete data***by*Frahm, Gabriel & Jaekel, Uwe**394-405 Further properties and new applications of the nested Dirichlet distribution***by*Tian, Guo-Liang & Tang, Man-Lai & Yuen, Kam Chuen & Ng, Kai Wang**406-415 Multiple change-point detection of multivariate mean vectors with the Bayesian approach***by*Cheon, Sooyoung & Kim, Jaehee**416-428 A two-component Weibull mixture to model early and late mortality in a Bayesian framework***by*Farcomeni, Alessio & Nardi, Alessandra**429-437 Distance-based local linear regression for functional predictors***by*Boj, Eva & Delicado, Pedro & Fortiana, Josep**438-451 On the generative-discriminative tradeoff approach: Interpretation, asymptotic efficiency and classification performance***by*Xue, Jing-Hao & Titterington, D. Michael**452-465 Least squares estimation of nonlinear spatial trends***by*Crujeiras, Rosa M. & Van Keilegom, Ingrid**466-472 Confidence interval estimation of partial area under curve based on combined biomarkers***by*Tian, Lili**473-495 Nonparametric multiplicative bias correction for kernel-type density estimation on the unit interval***by*Hirukawa, Masayuki**496-508 Diagnostic checking integer-valued ARCH(p) models using conditional residual autocorrelations***by*Zhu, Fukang & Wang, Dehui**509-515 On nonparametric local inference for density estimation***by*Chan, Ngai-Hang & Lee, Thomas C.M. & Peng, Liang**516-530 Exact D-optimal designs for a second-order response surface model on a circle with qualitative factors***by*Huang, Mong-Na Lo & Lee, Chuan-Pin & Chen, Ray-Bing & Klein, Thomas**531-545 Empirical likelihood ratios applied to goodness-of-fit tests based on sample entropy***by*Vexler, Albert & Gurevich, Gregory**546-564 Estimation of the marginal location under a partially linear model with missing responses***by*Bianco, Ana & Boente, Graciela & González-Manteiga, Wenceslao & Pérez-González, Ana**565-574 An approximate Bayesian approach for quantitative trait loci estimation***by*Chang, Yu-Ling & Zou, Fei & Wright, Fred A.**575-584 An alternative specification of generalized linear mixed models***by*Sartori, N. & Severini, T.A. & Marras, E.**585-597 Semi-parametric marginal models for hierarchical data and their corresponding full models***by*Molenberghs, Geert & Kenward, Michael G.**598-606 Clustering of discretely observed diffusion processes***by*De Gregorio, Alessandro & Maria Iacus, Stefano**607-607 Corrigendum to "Generalized Cramér-von Mises goodness-of-fit tests for multivariate distributions" [Comput. Statist. Data Anal. 53 (2009) 3817-3834]***by*Chiu, Sung Nok & Liu, Kwong Ip

### 2010, Volume 54, Issue 1

**1-15 Identifying financial time series with similar dynamic conditional correlation***by*Otranto, Edoardo**16-24 Fast surrogates of U-statistics***by*Lin, N. & Xi, R.**25-36 Estimating smooth distribution function in the presence of heteroscedastic measurement errors***by*Wang, Xiao-Feng & Fan, Zhaozhi & Wang, Bin**37-48 Robust statistic for the one-way MANOVA***by*Todorov, Valentin & Filzmoser, Peter**49-54 Grapham: Graphical models with adaptive random walk Metropolis algorithms***by*Vihola, Matti**55-64 Confidence interval estimation under inverse sampling***by*Zou, G.Y.**65-77 Asymptotic powers for matched trend tests and robust matched trend tests in case-control genetic association studies***by*Zang, Yong & Fung, Wing Kam & Zheng, Gang**78-89 Confidence intervals for median survival time with recurrent event data***by*Gonzalez, Juan R. & Peña, Edsel A. & Delicado, Pedro**90-108 Hierarchical clustering of continuous variables based on the empirical copula process and permutation linkages***by*Kojadinovic, Ivan**109-119 A multi-rater nonparametric test of agreement and corresponding agreement plot***by*Hutson, Alan D.**120-134 On multivariate binary data clustering and feature weighting***by*Bouguila, Nizar**135-142 A nonparametric test for the equality of counting processes with panel count data***by*Balakrishnan, N. & Zhao, Xingqiu**143-150 Bayesian optimum designs for discriminating between models with any distribution***by*Tommasi, C. & López-Fidalgo, J.**151-162 Two-sided tolerance intervals in the exponential case: Corrigenda and generalizations***by*Fernández, Arturo J.**163-172 The functional singular value decomposition for bivariate stochastic processes***by*Gervini, Daniel**173-184 Approximate conditional inference in mixed-effects models with binary data***by*Lee, Woojoo & Shi, Jian Qing & Lee, Youngjo**185-192 Reference analysis for Birnbaum-Saunders distribution***by*Xu, Ancha & Tang, Yincai**193-207 Joint analysis of mixed Poisson and continuous longitudinal data with nonignorable missing values***by*Yang, Ying & Kang, Jian**208-218 Longitudinal nominal data analysis using marginalized models***by*Lee, Keunbaik & Mercante, Donald**219-232 Uniform design over general input domains with applications to target region estimation in computer experiments***by*Chuang, S.C. & Hung, Y.C.**233-244 Ordered inference using observed confidence levels***by*Polansky, Alan M.

### 2009, Volume 53, Issue 12

**3907-3915 Population pharmacokinetic/pharmacodynamic mixture models via maximum a posteriori estimation***by*Wang, Xiaoning & Schumitzky, Alan & D'Argenio, David Z.**3916-3920 On hierarchical loglinear models in capture-recapture studies***by*You, Na & Mao, Chang Xuan**3921-3931 Multi-aspect permutation tests in shape analysis with small sample size***by*Brombin, Chiara & Salmaso, Luigi**3932-3947 A new R package for Bayesian estimation of multivariate normal mixtures allowing for selection of the number of components and interval-censored data***by*Komárek, Arnost**3948-3956 A Bayesian nonparametric study of a dynamic nonlinear model***by*Hatjispyros, Spyridon J. & Nicoleris, Theodoros & Walker, Stephen G.**3957-3971 Goodness-of-fit tests based on empirical characteristic functions***by*Jiménez-Gamero, M.D. & Alba-Fernández, V. & Muñoz-García, J. & Chalco-Cano, Y.**3972-3979 Some restriction tests in a new class of regression models for proportions***by*Melo, Tatiane F.N. & Vasconcellos, Klaus L.P. & Lemonte, Artur J.**3980-3986 Nonparametric density estimation of streaming data using orthogonal series***by*Caudle, Kyle A. & Wegman, Edward**3987-3998 Partition clustering of high dimensional low sample size data based on p-values***by*von Borries, George & Wang, Haiyan**3999-4017 New global optimization algorithms for model-based clustering***by*Heath, Jeffrey W. & Fu, Michael C. & Jank, Wolfgang**4018-4027 Recurrence relations for bivariate t and extended skew-t distributions and an application to order statistics from bivariate t***by*Jamalizadeh, A. & Mehrali, Y. & Balakrishnan, N.**4028-4045 Estimating Bayes factors via thermodynamic integration and population MCMC***by*Calderhead, Ben & Girolami, Mark**4046-4072 Taxonomy for characterizing ensemble methods in classification tasks: A review and annotated bibliography***by*Rokach, Lior**4073-4082 Semiparametric Bayesian approaches to joinpoint regression for population-based cancer survival data***by*Ghosh, Pulak & Huang, Lan & Yu, Binbing & Tiwari, Ram C.**4083-4094 On progressively censored competing risks data for Weibull distributions***by*Pareek, Bhuvanesh & Kundu, Debasis & Kumar, Sumit**4095-4105 Robust testing in the logistic regression model***by*Bianco, Ana M. & Martínez, Elena**4106-4115 Longitudinal data analysis using sufficient dimension reduction method***by*Li, Lexin & Yin, Xiangrong**4116-4125 Efficient Bayesian estimation of multivariate state space models***by*Strickland, Chris M. & Turner, Ian. W. & Denham, Robert & Mengersen, Kerrie L.**4126-4132 Confidence bands for the CDF when sampling from a finite population***by*Frey, Jesse**4133-4142 Maximum likelihood estimation in vector long memory processes via EM algorithm***by*Pai, Jeffrey & Ravishanker, Nalini**4143-4156 Influence diagnostics in nonlinear mixed-effects elliptical models***by*Russo, Cibele M. & Paula, Gilberto A. & Aoki, Reiko**4157-4167 A two-stage hierarchical regression model for meta-analysis of epidemiologic nonlinear dose-response data***by*Liu, Qin & Cook, Nancy R. & Bergström, Anna & Hsieh, Chung-Cheng**4168-4177 Optimal expectile smoothing***by*Schnabel, Sabine K. & Eilers, Paul H.C.**4178-4185 Estimation of a common slope in a gamma regression model with multiple strata: An empirical Bayes method***by*Minoda, Yuta & Yanagimoto, Takemi**4186-4197 Impact of unknown covariance structures in semiparametric models for longitudinal data: An application to Wisconsin diabetes data***by*Li, Jialiang & Xia, Yingcun & Palta, Mari & Shankar, Anoop**4198-4209 Bayesian binary kernel probit model for microarray based cancer classification and gene selection***by*Chakraborty, Sounak**4210-4220 Comparison of p control charts for low defective rate***by*Wang, Hsiuying**4221-4227 Bootstrapping least distance estimator in the multivariate regression model***by*Jhun, Myoungshic & Choi, Inkyung**4228-4242 Distribution-preserving statistical disclosure limitation***by*Woodcock, Simon D. & Benedetto, Gary**4243-4254 L2E estimation of mixture complexity for count data***by*Umashanger, T. & Sriram, T.N.**4255-4265 Objective parametric model selection procedures from a Bayesian nonparametric perspective***by*Gutiérrez-Peña, Eduardo & Rueda, Raúl & Contreras-Cristán, Alberto**4266-4278 Homogeneity tests for several Poisson populations***by*Chiu, Sung Nok & Wang, Ling**4279-4289 Nonparametric linear tests with multiple events***by*Pinçon, Claire & Pons, Odile**4290-4300 A permutation test for determining significance of clusters with applications to spatial and gene expression data***by*Park, P.J. & Manjourides, J. & Bonetti, M. & Pagano, M.**4301-4310 Penalized factor mixture analysis for variable selection in clustered data***by*Galimberti, Giuliano & Montanari, Angela & Viroli, Cinzia**4311-4321 A fully Bayesian approach to inference for Coxian phase-type distributions with covariate dependent mean***by*McGrory, C.A. & Pettitt, A.N. & Faddy, M.J.**4322-4331 Statistical inference for doubly stochastic multichannel Poisson processes: A PCA approach***by*Fernández-Alcalá, R.M. & Navarro-Moreno, J. & Ruiz-Molina, J.C.**4332-4344 Cusum techniques for timeslot sequences with applications to network surveillance***by*Jeske, Daniel R. & Montes De Oca, Veronica & Bischoff, Wolfgang & Marvasti, Mazda**4345-4357 On shortest prediction intervals in log-Gaussian random fields***by*De Oliveira, Victor & Rui, Changxiang**4358-4369 Conditional confidence intervals for classification error rate***by*Chung, Hie-Choon & Han, Chien-Pai**4370-4383 Nonparametric estimation of the threshold at an operating point on the ROC curve***by*Yousef, Waleed A. & Kundu, Subrata & Wagner, Robert F.**4384-4402 Spatial multi-taper spectrum estimation for nuclear reactor modelling***by*Scarrott, C.J. & Tunnicliffe Wilson, G.**4403-4416 Diagnostics for skew-normal nonlinear regression models with AR(1) errors***by*Xie, Feng-Chang & Lin, Jin-Guan & Wei, Bo-Cheng**4417-4432 Semiparametric analysis of survival data with left truncation and right censoring***by*Shen, Pao-sheng**4433-4440 On some lifetime distributions with decreasing failure rate***by*Chahkandi, M. & Ganjali, M.**4441-4452 Birnbaum-Saunders nonlinear regression models***by*Lemonte, Artur J. & Cordeiro, Gauss M.**4453-4470 Visualizations for assessing convergence and mixing of Markov chain Monte Carlo simulations***by*Peltonen, Jaakko & Venna, Jarkko & Kaski, Samuel**4471-4481 A new class of spatial concentration measures***by*Arbia, Giuseppe & Piras, Gianfranco**4482-4489 A log-extended Weibull regression model***by*Silva, Giovana O. & Ortega, Edwin M.M. & Cordeiro, Gauss M.**4490-4499 Modified fast double sieve bootstraps for ADF tests***by*Richard, Patrick