# Elsevier

# Computational Statistics & Data Analysis

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### 2010, Volume 54, Issue 3

**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**4500-4507 A procedure for robust fitting in nonlinear regression***by*Hawkins, Douglas M. & Khan, Dost Muhammad**4508-4515 Clustering rows and/or columns of a two-way contingency table and a related distribution theory***by*Hirotsu, C.**4516-4529 Testing for independence in heavy-tailed time series using the codifference function***by*Rosadi, Dedi**4530-4545 Nonignorable dropout models for longitudinal binary data with random effects: An application of Monte Carlo approximation through the Gibbs output***by*Chan, Jennifer S.K. & Leung, Doris Y.P. & Boris Choy, S.T. & Wan, Wai Y.**4546-4554 Generalised Procrustes Analysis with optimal scaling: Exploring data from a power supplier***by*Wieringa, Jaap & Dijksterhuis, Garmt & Gower, John & van Perlo, Frederieke**4555-4569 On multivariate order statistics. Application to ranked set sampling***by*Arnold, Barry C. & Castillo, Enrique & María Sarabia, José**4570-4583 A Bayesian analysis of dual autoradiographic images***by*Johnson, Timothy D. & Piert, Morand**4584-4589 Economical generalized neighbor designs for use in Serology***by*Ahmed, Rashid & Akhtar, Munir & Tahir, M.H.**4590-4600 Negative binomial mixed models for analysis of stuttering rates***by*Jones, Mark & Dobson, Annette & Onslow, Mark & Carey, Brenda

### 2009, Volume 53, Issue 11

**3735-3745 Estimating classification error rate: Repeated cross-validation, repeated hold-out and bootstrap***by*Kim, Ji-Hyun**3746-3754 Bayesian multiscale feature detection of log-spectral densities***by*Sørbye, Sigrunn H. & Hindberg, Kristian & Olsen, Lena R. & Rue, Håvard**3755-3764 Confidence interval estimation for lognormal data with application to health economics***by*Zou, Guang Yong & Taleban, Julia & Huo, Cindy Y.**3765-3772 Bayesian model checking for multivariate outcome data***by*Crespi, Catherine M. & Boscardin, W. John**3773-3786 A Bayesian regression model for multivariate functional data***by*Rosen, Ori & Thompson, Wesley K.**3787-3794 Influence analysis with homogeneous linear restrictions***by*Vasconcellos, Klaus L.P. & Zea Fernandez, L.M.**3795-3804 Multivariate trees for mixed outcomes***by*Dine, Abdessamad & Larocque, Denis & Bellavance, François**3805-3816 Parameter estimation in a model for misclassified Markov data -- a Bayesian approach***by*Rosychuk, Rhonda J. & Shofiqul Islam**3817-3834 Generalized Cramér-von Mises goodness-of-fit tests for multivariate distributions***by*Chiu, Sung Nok & Liu, Kwong Ip**3835-3841 A bootstrap goodness of fit test for the generalized Pareto distribution***by*Villaseñor-Alva, José A. & González-Estrada, Elizabeth**3842-3854 Smoothing sample extremes: The mixed model approach***by*Laurini, Fabrizio & Pauli, Francesco**3855-3863 Principal component regression for data containing outliers and missing elements***by*Serneels, Sven & Verdonck, Tim**3864-3871 Semiparametric estimation of a nested random effects model for the analysis of multi-level clustered failure time data***by*Shih, Joanna H. & Lu, Shou-En**3872-3882 Variable selection in model-based clustering: A general variable role modeling***by*Maugis, C. & Celeux, G. & Martin-Magniette, M.-L.**3883-3891 A generalized Shapiro-Wilk W statistic for testing high-dimensional normality***by*Liang, Jiajuan & Tang, Man-Lai & Chan, Ping Shing**3892-3906 Spatial prediction of ozone concentration profiles***by*Temiyasathit, Chivalai & Kim, Seoung Bum & Park, Sun-Kyoung

### 2009, Volume 53, Issue 10

**3533-3552 Locally adaptive Bayesian P-splines with a Normal-Exponential-Gamma prior***by*Scheipl, Fabian & Kneib, Thomas**3553-3559 Generating inverse Gaussian random variates by approximation***by*Lai, Yongzeng**3560-3570 Expected values of the number of failures for two populations under joint Type-II progressive censoring***by*Parsi, Safar & Bairamov, Ismihan**3571-3579 Fast indirect robust generalized method of moments***by*Loisel, Sébastien & Takane, Marina**3580-3592 Estimation for the three-parameter lognormal distribution based on progressively censored data***by*Basak, Prasanta & Basak, Indrani & Balakrishnan, N.**3593-3600 A note on the properties of power-transformed returns in long-memory stochastic volatility models with leverage effect***by*Pérez, Ana & Ruiz, Esther & Veiga, Helena**3601-3615 Multiclass classification and gene selection with a stochastic algorithm***by*Lê Cao, Kim-Anh & Bonnet, Agnès & Gadat, Sébastien**3616-3629 Spline smoothing in small area trend estimation and forecasting***by*Ugarte, M.D. & Goicoa, T. & Militino, A.F. & Durbán, M.**3630-3639 Group sequential testing of homogeneity in genetic linkage analysis***by*Cui, Yin & Fu, Yuejiao & Hussein, Abdulkadir**3640-3649 The choice of the number of bins for the M statistic***by*White, Laura Forsberg & Bonetti, Marco & Pagano, Marcello**3650-3658 A note on interval estimation of P(X***by*Wong, Augustine C.M. & Wu, Yan Yan**3659-3670 On estimation based on progressive first-failure-censored sampling***by*Wu, Shuo-Jye & Kus, Coskun**3671-3684 Local influence analysis of nonlinear structural equation models with nonignorable missing outcomes from reproductive dispersion models***by*Fu, Ying-Zi & Tang, Nian-Sheng & Chen, Xing**3685-3695 A flexible approximate likelihood ratio test for detecting differential expression in microarray data***by*Hossain, Ahmed & Beyene, Joseph & Willan, Andrew R. & Hu, Pingzhao**3696-3705 Quantile regression without the curse of unsmoothness***by*Wang, You-Gan & Shao, Quanxi & Zhu, Min**3706-3716 Robust probabilistic PCA with missing data and contribution analysis for outlier detection***by*Chen, Tao & Martin, Elaine & Montague, Gary**3717-3725 A generalized Waring regression model for count data***by*Rodríguez-Avi, J. & Conde-Sánchez, A. & Sáez-Castillo, A.J. & Olmo-Jiménez, M.J. & Martínez-Rodríguez, A.M.**3726-3733 Maximum likelihood kernel density estimation: On the potential of convolution sieves***by*Jones, M.C. & Henderson, D.A.

### 2009, Volume 53, Issue 9

**3259-3270 Escaping RGBland: Selecting colors for statistical graphics***by*Zeileis, Achim & Hornik, Kurt & Murrell, Paul**3271-3280 Inference on exponential families with mixture of prior distributions***by*Rufo, M.J. & Martín, J. & Pérez, C.J.**3281-3290 Exact computation of the null distribution of a test for multiple outliers in an exponential sample***by*Lin, Chien-Tai & Balakrishnan, N.**3291-3304 The geometry of time-varying cross-correlation random fields***by*Carbonell, F. & Worsley, K.J. & Trujillo-Barreto, N.J. & Vega-Hernandez, M.**3305-3313 Testing the homogeneity of the means of several groups of count data in the presence of unequal dispersions***by*Saha, Krishna K. & Bilisoly, Roger**3314-3323 Non-iterative sampling-based Bayesian methods for identifying changepoints in the sequence of cases of Haemolytic uraemic syndrome***by*Tian, Guo-Liang & Ng, Kai Wang & Li, Kai-Can & Tan, Ming**3324-3333 Confidence intervals for quantiles using generalized lambda distributions***by*Su, Steve**3334-3343 Effects of ignoring baseline on modeling transitions from intact cognition to dementia***by*Yu, Lei & Tyas, Suzanne L. & Snowdon, David A. & Kryscio, Richard J.**3344-3357 Non-parametric k-sample tests: Density functions vs distribution functions***by*Martínez-Camblor, Pablo & de Uña-Álvarez, Jacobo**3358-3371 Mapping malaria risk in West Africa using a Bayesian nonparametric non-stationary model***by*Gosoniu, L. & Vounatsou, P. & Sogoba, N. & Maire, N. & Smith, T.**3372-3385 Surveillance of the covariance matrix based on the properties of the singular Wishart distribution***by*Bodnar, Olha & Bodnar, Taras & Okhrin, Yarema**3386-3396 A non-parametric iterative smoothing method for benchmarking and temporal distribution***by*Quenneville, B. & Fortier, S. & Gagné, C.**3397-3411 The distribution of Pearson residuals in generalized linear models***by*Cordeiro, Gauss M. & Simas, Alexandre B.**3412-3425 Statistical computation and analyses for attribute events***by*Liu, Yafen & He, Zhen & Shu, Lianjie & Wu, Zhang**3426-3438 Integral distribution-free statistics of Lp-type and their asymptotic comparison***by*Henze, Norbert & Nikitin, Yakov & Ebner, Bruno**3439-3451 Estimation and hypothesis testing in BIB design and robustness***by*Tiku, Moti L. & Senoglu, Birdal**3452-3465 Structural components in functional data***by*Park, Juhyun & Gasser, Theo & Rousson, Valentin**3466-3477 Empirical likelihood based diagnostics for heteroscedasticity in partial linear models***by*Wong, Heung & Liu, Feng & Chen, Min & Ip, Wai Cheung**3478-3489 Score tests for zero-inflated generalized Poisson mixed regression models***by*Xie, Feng-Chang & Wei, Bo-Cheng & Lin, Jin-Guan**3490-3501 Additive models in censored regression***by*de Uña Álvarez, Jacobo & Roca Pardiñas, Javier**3502-3515 Executives' perceived environmental uncertainty shortly after 9/11***by*Soofi, E.S. & Nystrom, P.C. & Yasai-Ardekani, M.**3516-3531 A neuro-computational intelligence analysis of the ecological footprint of nations***by*Mostafa, Mohamed M. & Nataraajan, Rajan

### 2009, Volume 53, Issue 8

**2781-2785 Spatial statistics: Methods, models & computation***by*LeSage, James & Banerjee, Sudipto & Fischer, Manfred M. & Congdon, Peter**2786-2808 Overall and pairwise segregation tests based on nearest neighbor contingency tables***by*Ceyhan, Elvan**2809-2816 Summary statistics for measuring the relationship among three types of points in multivariate point patterns***by*Wu, Liu-Cang & Li, Hui-Qiong**2817-2830 Surveillance to detect emerging space-time clusters***by*Assuno, Renato & Correa, Thais**2831-2842 Approximate methods in Bayesian point process spatial models***by*Hossain, Md. Monir & Lawson, Andrew B.**2843-2850 A flexible spatial scan test for case event data***by*Cucala, Lionel**2851-2858 Spatial scan statistics in loglinear models***by*Zhang, Tonglin & Lin, Ge**2859-2872 Power calculations for global and local Moran's***by*Bivand, Roger & Müller, Werner G. & Reder, Markus**2873-2884 Improving the performance of predictive process modeling for large datasets***by*Finley, Andrew O. & Sang, Huiyan & Banerjee, Sudipto & Gelfand, Alan E.**2885-2896 Fast estimation of spatially dependent temporal vegetation trends using Gaussian Markov random fields***by*Bolin, David & Lindström, Johan & Eklundh, Lars & Lindgren, Finn**2897-2922 Testing for heteroskedasticity and spatial correlation in a random effects panel data model***by*Baltagi, Badi H. & Song, Seuck Heun & Kwon, Jae Hyeok**2923-2937 Modelling small area counts in the presence of overdispersion and spatial autocorrelation***by*Haining, Robert & Law, Jane & Griffith, Daniel**2938-2949 Empirical Bayes and Fully Bayes procedures to detect high-risk areas in disease mapping***by*Ugarte, M.D. & Goicoa, T. & Militino, A.F.**2950-2967 On empirical Bayes penalized quasi-likelihood inference in GLMMs and in Bayesian disease mapping and ecological modeling***by*MacNab, Ying C. & Lin, Yi**2968-2979 Smooth-CAR mixed models for spatial count data***by*Lee, Dae-Jin & Durbán, María**2980-2988 An O(N) parallel method of computing the Log-Jacobian of the variable transformation for models with spatial interaction on a lattice***by*Smirnov, Oleg A. & Anselin, Luc E.**2989-3000 Spatial-temporal association between fine particulate matter and daily mortality***by*Choi, Jungsoon & Fuentes, Montserrat & Reich, Brian J.**3001-3015 Spatiotemporal and spatial threshold models for relating UV exposures and skin cancer in the central United States***by*Hatfield, Laura A. & Hoffbeck, Richard W. & Alexander, Bruce H. & Carlin, Bradley P.**3016-3032 Statistical analysis of small-area data based on independence, spatial, non-hierarchical, and hierarchical models***by*Kang, Emily L. & Liu, Desheng & Cressie, Noel**3033-3046 A stochastic neighborhood conditional autoregressive model for spatial data***by*White, Gentry & Ghosh, Sujit K.**3047-3056 Modelling the impact of socioeconomic structure on spatial health outcomes***by*Congdon, Peter**3057-3069 Spatial latent class analysis model for spatially distributed multivariate binary data***by*Wall, Melanie M. & Liu, Xuan**3070-3081 Spatial point process models for location-allocation problems***by*Bonneu, Florent & Thomas-Agnan, Christine**3082-3093 CART algorithm for spatial data: Application to environmental and ecological data***by*Bel, L. & Allard, D. & Laurent, J.M. & Cheddadi, R. & Bar-Hen, A.**3094-3102 Identification of differentially expressed spatial clusters using humoral response microarray data***by*Wu, Jincao & Patwa, Tasneem H. & Lubman, David M. & Ghosh, Debashis**3103-3106 Special issue on correspondence analysis and related methods***by*Blasius, J. & Greenacre, M. & Groenen, P.J.F. & van de Velden, M.**3107-3116 Power transformations in correspondence analysis***by*Greenacre, Michael**3117-3128 Two types of single-peaked data: Correspondence analysis as an alternative to principal component analysis***by*Polak, Marike & Heiser, Willem J. & de Rooij, Mark**3129-3138 Seriation by constrained correspondence analysis: A simulation study***by*van de Velden, Michel & Groenen, Patrick J.F. & Poblome, Jeroen**3139-3144 Diagnostics for regression dependence in tables re-ordered by the dominant correspondence analysis solution***by*Warrens, Matthijs J. & Heiser, Willem J.