# Elsevier

# Computational Statistics & Data Analysis

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### October 2007, Volume 52, Issue 2

**680-686 RLadyBug--An R package for stochastic epidemic models***by*Hohle, Michael & Feldmann, Ulrike**687-701 DIVCLUS-T: A monothetic divisive hierarchical clustering method***by*Chavent, Marie & Lechevallier, Yves & Briant, Olivier**702-712 On the computation and some applications of multivariate isotonic regression***by*Fernando, W.T.P.S. & Kulatunga, D.D.S.**713-724 Adaptive population-based search: Application to estimation of nonlinear regression parameters***by*Tvrdik, Josef & Krivy, Ivan & Misik, Ladislav**725-736 Algorithms for compact letter displays: Comparison and evaluation***by*Gramm, Jens & Guo, Jiong & Huffner, Falk & Niedermeier, Rolf & Piepho, Hans-Peter & Schmid, Ramona**737-749 Exact algorithms for computing p-values of statistics-linear combination of 3-nomial variables***by*Beninel, Farid & Grelaud, Gerard**750-762 Sampling streaming data with replacement***by*Park, Byung-Hoon & Ostrouchov, George & Samatova, Nagiza F.**763-772 Computing the least quartile difference estimator in the plane***by*Bernholt, Thorsten & Nunkesser, Robin & Schettlinger, Karen**773-789 Missing data imputation, matching and other applications of random recursive partitioning***by*Iacus, Stefano M. & Porro, Giuseppe**790-798 Mean-field variational approximate Bayesian inference for latent variable models***by*Consonni, Guido & Marin, Jean-Michel**799-815 A graph approach to generate all possible regression submodels***by*Gatu, Cristian & Yanev, Petko I. & Kontoghiorghes, Erricos J.**817-820 2nd Special Issue on Statistical Signal Extraction and Filtering***by*Pollock, D.S.G. & Proietti, Tommaso**821-839 Learning and approximate inference in dynamic hierarchical models***by*Bakker, Bart & Heskes, Tom**840-854 A new fusion formula and its application to continuous-time linear systems with multisensor environment***by*Shin, Vladimir & Shevlyakov, Georgy & Kim, Kiseon**855-868 Hidden Markov random field models for TCA image analysis***by*Klauenberg, Katy & Lagona, Francesco**869-878 Optimal multilinear estimation of a random vector under constraints of causality and limited memory***by*Howlett, P.G. & Torokhti, A. & Pearce, C.E.M.**879-895 Discrimination of locally stationary time series using wavelets***by*Maharaj, Elizabeth A. & Alonso, Andres M.**896-906 A unifying framework for analysing common cyclical features in cointegrated time series***by*Cubadda, Gianluca**907-918 Regional business cycles in Italy***by*Mastromarco, Camilla & Woitek, Ulrich**919-934 Multivariate modelling of long memory processes with common components***by*Morana, Claudio**935-958 Signal extraction and filtering by linear semiparametric methods***by*Proietti, Tommaso**959-974 Efficient computation for Whittaker-Henderson smoothing***by*Weinert, Howard L.**975-998 Temporal aggregation, systematic sampling, and the Hodrick-Prescott filter***by*Maravall, A. & del Rio, A.**999-1024 Linear dynamic harmonic regression***by*Bujosa, Marcos & Garcia-Ferrer, Antonio & Young, Peter C.**1025-1046 A Bayesian analysis of moving average processes with time-varying parameters***by*Triantafyllopoulos, K. & Nason, G.P.**1047-1062 Two approximation methods to synthesize the power spectrum of fractional Gaussian noise***by*Ledesma, Sergio & Liu, Derong & Hernandez, Donato**1063-1074 On the robust detection of edges in time series filtering***by*Fried, Roland**1076-1079 Total Least Squares and Errors-in-variables Modeling***by*Van Huffel, Sabine & Cheng, Chi-Lun & Mastronardi, Nicola & Paige, Chris & Kukush, Alexander**1080-1089 Robust counterparts of errors-in-variables problems***by*Watson, G.A.**1090-1102 On a quadratic eigenproblem occurring in regularized total least squares***by*Lampe, J. & Voss, H.**1103-1118 Level choice in truncated total least squares***by*Sima, Diana M. & Van Huffel, Sabine**1119-1131 Fast robust regression algorithms for problems with Toeplitz structure***by*Mastronardi, Nicola & O'Leary, Dianne P.**1132-1142 Local influence assessment in heteroscedastic measurement error models***by*de Castro, Mario & Galea-Rojas, Manuel & Bolfarine, Heleno**1143-1148 On the estimation of the linear relation when the error variances are known***by*Schneeweiss, H. & Shalabh, H.**1149-1166 Restricted regression estimation in measurement error models***by*Shalabh & Garg, Gaurav & Misra, Neeraj**1167-1182 Estimation in a linear multivariate measurement error model with a change point in the data***by*Kukush, A. & Markovsky, I. & Van Huffel, S.**1183-1195 Effects of measurement errors in predictor selection of linear regression model***by*Vehkalahti, Kimmo & Puntanen, Simo & Tarkkonen, Lauri**1196-1207 Hypothesis testing in the unrestricted and restricted parametric spaces of structural models***by*Barros, Michelli & Giampaoli, Viviana & Lima, Claudia R.O.P.**1208-1222 Performance evaluation of iterative geometric fitting algorithms***by*Kanatani, Kenichi & Sugaya, Yasuyuki**1223-1233 State space description of national economies: The V4 countries***by*Petras, Ivo & Podlubny, Igor**1234-1267 Applications of TLS and related methods in the environmental sciences***by*Ramos, Jose A.

### September 2007, Volume 52, Issue 1

**2-3 2nd Special Issue on Applications of Optimization Heuristics to Estimation and Modelling Problems***by*Gilli, Manfred & Winker, Peter**4-15 Variable selection in regression models using nonstandard optimisation of information criteria***by*Kapetanios, George**16-29 Efficient algorithms for computing the best subset regression models for large-scale problems***by*Hofmann, Marc & Gatu, Cristian & Kontoghiorghes, Erricos John**30-42 Selection of artificial neural network models for survival analysis with Genetic Algorithms***by*Ambrogi, Federico & Lama, Nicola & Boracchi, Patrizia & Biganzoli, Elia**43-52 A genetic algorithm for irregularly shaped spatial scan statistics***by*Duczmal, Luiz & Cancado, Andre L.F. & Takahashi, Ricardo H.C. & Bessegato, Lupercio F.**53-67 A genetic algorithm approach to determine stratum boundaries and sample sizes of each stratum in stratified sampling***by*Keskinturk, Timur & Er, Sebnem**68-87 Using differential evolution to improve the accuracy of bank rating systems***by*Krink, Thiemo & Paterlini, Sandra & Resti, Andrea**88-108 Improving the computation of censored quantile regressions***by*Fitzenberger, Bernd & Winker, Peter**109-120 GSA-based maximum likelihood estimation for threshold vector error correction model***by*Yang, Zheng & Tian, Zheng & Yuan, Zixia**121-132 Representing uncertainty about response paths: The use of heuristic optimisation methods***by*Staszewska, Anna**133-149 Synthesis of the [beta]-distribution as an aid to stochastic global optimization***by*Ali, M.M.**151-154 Machine Learning and Robust Data Mining***by*Croux, Christophe & Gallopoulos, Efstratios & Van Aelst, Stefan & Zha, Hongyuan**155-173 Algorithms and applications for approximate nonnegative matrix factorization***by*Berry, Michael W. & Browne, Murray & Langville, Amy N. & Pauca, V. Paul & Plemmons, Robert J.**174-183 Updating the partial singular value decomposition in latent semantic indexing***by*Tougas, Jane E. & Spiteri, Raymond J.**184-200 Continuum Isomap for manifold learnings***by*Zha, Hongyuan & Zhang, Zhenyue**201-210 Constrained unidimensional scaling with application to genomics***by*Ao, S.I. & Ng, Michael K. & Sham, Pak C.**211-220 Wavelet-based procedures for proteomic mass spectrometry data processing***by*Chen, Shuo & Hong, Don & Shyr, Yu**221-233 On rank tests for shift detection in time series***by*Fried, Roland & Gather, Ursula**234-238 On a robust modification of Breslow's cumulated hazard estimator***by*Bednarski, Tadeusz**239-248 Building a robust linear model with forward selection and stepwise procedures***by*Khan, Jafar A. & Van Aelst, Stefan & Zamar, Ruben H.**249-257 Robust variable selection using least angle regression and elemental set sampling***by*McCann, Lauren & Welsch, Roy E.**258-271 Cluster-wise assessment of cluster stability***by*Hennig, Christian**272-285 Exploratory tools for clustering multivariate data***by*Atkinson, A.C. & Riani, M.**286-298 CLUES: A non-parametric clustering method based on local shrinking***by*Wang, Xiaogang & Qiu, Weiliang & Zamar, Ruben H.**299-308 Robust fitting of mixtures using the trimmed likelihood estimator***by*Neykov, N. & Filzmoser, P. & Dimova, R. & Neytchev, P.**309-324 Kernel ellipsoidal trimming***by*Dolia, A.N. & Harris, C.J. & Shawe-Taylor, J.S. & Titterington, D.M.**325-334 A stochastic approximation view of boosting***by*Tsao, C. Andy & Chang, Yuan-chin Ivan**335-346 Model selection for support vector machines via uniform design***by*Huang, Chien-Ming & Lee, Yuh-Jye & Lin, Dennis K.J. & Huang, Su-Yun**347-361 Robust learning from bites for data mining***by*Christmann, Andreas & Steinwart, Ingo & Hubert, Mia**362-368 Trimmed bagging***by*Croux, Christophe & Joossens, Kristel & Lemmens, Aurelie**370-373 Statistical Learning Methods Including Dimensionality Reduction***by*Bock, Hans-Hermann & Vichi, Maurizio**374-393 Relaxed Lasso***by*Meinshausen, Nicolai**394-405 Regularized linear and kernel redundancy analysis***by*Takane, Yoshio & Hwang, Heungsun**406-422 Input selection and shrinkage in multiresponse linear regression***by*Simila, Timo & Tikka, Jarkko**423-437 Improving implementation of linear discriminant analysis for the high dimension/small sample size problem***by*Duintjer Tebbens, Jurjen & Schlesinger, Pavel**438-451 Class prediction and gene selection for DNA microarrays using regularized sliced inverse regression***by*Scrucca, Luca**452-470 High-dimensional pseudo-logistic regression and classification with applications to gene expression data***by*Zhang, Chunming & Fu, Haoda & Jiang, Yuan & Yu, Tao**471-482 Gaussian mixture model classification: A projection pursuit approach***by*Calo, Daniela G.**483-501 Unbiased split selection for classification trees based on the Gini Index***by*Strobl, Carolin & Boulesteix, Anne-Laure & Augustin, Thomas**502-519 High-dimensional data clustering***by*Bouveyron, C. & Girard, S. & Schmid, C.**520-536 Model-based methods to identify multiple cluster structures in a data set***by*Galimberti, Giuliano & Soffritti, Gabriele**537-549 A unifying model involving a categorical and/or dimensional reduction for multimode data***by*Van Mechelen, Iven & Schepers, Jan**550-565 Dimension reduction via principal variables***by*Cumming, J.A. & Wooff, D.A.**566-577 Non-symmetric correspondence analysis with ordinal variables using orthogonal polynomials***by*Lombardo, R. & Beh, E.J. & D'Ambra, L.**578-595 A simple and efficient method for variable ranking according to their usefulness for learning***by*Quevedo, Jose R. & Bahamonde, Antonio & Luaces, Oscar**596-613 Combined use of association rules mining and clustering methods to find relevant links between binary rare attributes in a large data set***by*Plasse, Marie & Niang, Ndeye & Saporta, Gilbert & Villeminot, Alexandre & Leblond, Laurent

### August 2007, Volume 51, Issue 12

**5467-5470 AMCMC: An R interface for adaptive MCMC***by*Rosenthal, Jeffrey S.**5471-5476 Simulating from a multinomial distribution with large number of categories***by*Malefaki, Sonia & Iliopoulos, George**5477-5482 On the choice of an auxiliary function in the M/G/[infinity] estimation***by*Park, Juhyun**5483-5493 A semi-parametric approach for mixture models: Application to local false discovery rate estimation***by*Robin, Stephane & Bar-Hen, Avner & Daudin, Jean-Jacques & Pierre, Laurent**5494-5506 A matching algorithm for the distribution of human pancreatic islets***by*Qian, Dajun & Kaddis, John & Niland, Joyce C.**5507-5518 A Bayesian approach for analyzing a cluster-randomized trial with adjustment for risk misclassification***by*Ren, Dianxu & Stone, Roslyn A.**5519-5536 A null space method for over-complete blind source separation***by*Chen, Ray-Bing & Wu, Ying Nian**5537-5546 Covariance miss-specification and the local influence approach in sensitivity analyses of longitudinal data with drop-outs***by*O'Hara Hines, R.J. & Hines, W.G.S.**5547-5561 Construction of marginally and conditionally restricted designs using multiplicative algorithms***by*Martin-Martin, R. & Torsney, B. & Lopez-Fidalgo, J.**5562-5578 Nonparametric confidence intervals for population variance of one sample and the difference of variances of two samples***by*Cojbasic, Vesna & Tomovic, Andrija**5579-5590 Extending a global sensitivity analysis technique to models with correlated parameters***by*Xu, C. & Gertner, G.**5591-5602 Systematic sampling is a minimum support design***by*Pea, Johan & Qualite, Lionel & Tille, Yves**5603-5621 Joint segmentation of wind speed and direction using a hierarchical model***by*Dobigeon, Nicolas & Tourneret, Jean-Yves**5622-5634 Bivariate density estimation using BV regularisation***by*Obereder, Andreas & Scherzer, Otmar & Kovac, Arne**5635-5643 A quick procedure for model selection in the case of mixture of normal densities***by*Isaia, A. Durio E.D.**5644-5661 Optimum experimental designs for dynamic systems in the presence of correlated errors***by*Patan, Maciej & Bogacka, Barbara**5662-5672 Minimum disparity computation via the iteratively reweighted least integrated squares algorithms***by*Wang, Yong**5673-5681 A revisit to the common mean problem: Comparing the maximum likelihood estimator with the Graybill-Deal estimator***by*Pal, Nabendu & Lin, Jyh-Jiuan & Chang, Ching-Hui & Kumar, Somesh**5682-5693 The evaluation of evidence for exponentially distributed data***by*Aitken, C.G.G. & Shen, Q. & Jensen, R. & Hayes, B.**5694-5707 Influence diagnostics in log-Birnbaum-Saunders regression models with censored data***by*Leiva, Victor & Barros, Michelli & Paula, Gilberto A. & Galea, Manuel**5708-5717 New classification of medical staff clinical services for optimal reconstruction of job workflow in a surgical ward: Application of spectrum analysis and sequence relational analysis***by*Numasaki, Hodaka & Harauchi, Hajime & Ohno, Yuko & Inamura, Kiyonari & Kasahara, Satoko & Monden, Morito & Sakon, Masato**5718-5730 Efficient hybrid EM for linear and nonlinear mixed effects models with censored response***by*Vaida, Florin & Fitzgerald, Anthony P. & DeGruttola, Victor**5731-5742 A parametric bootstrap approach for ANOVA with unequal variances: Fixed and random models***by*Krishnamoorthy, K. & Lu, Fei & Mathew, Thomas**5743-5764 Improving the estimation of Kendall's tau when censoring affects only one of the variables***by*Beaudoin, David & Duchesne, Thierry & Genest, Christian**5765-5775 Quasi-Monte Carlo estimation in generalized linear mixed models***by*Pan, Jianxin & Thompson, Robin**5776-5790 Likelihood and pseudo-likelihood methods for semiparametric joint models for a primary endpoint and longitudinal data***by*Li, Erning & Zhang, Daowen & Davidian, Marie**5791-5799 Small-sample comparisons of confidence intervals for the difference of two independent binomial proportions***by*Santner, Thomas J. & Pradhan, Vivek & Senchaudhuri, Pralay & Mehta, Cyrus R. & Tamhane, Ajit**5800-5812 Plug-in bandwidth selection in kernel hazard estimation from dependent data***by*Quintela-del-Rio, Alejandro**5813-5820 Secure computation with horizontally partitioned data using adaptive regression splines***by*Ghosh, Joyee & Reiter, Jerome P. & Karr, Alan F.**5821-5827 On certain A-optimal chemical balance weighing designs***by*Ceranka, B. & Graczyk, M. & Katulska, K.**5828-5846 On the relationships among latent variables and residuals in PLS path modeling: The formative-reflective scheme***by*Vittadini, Giorgio & Minotti, Simona C. & Fattore, Marco & Lovaglio, Pietro G.**5847-5866 Wavelet based time-varying vector autoregressive modelling***by*Sato, Joao R. & Morettin, Pedro A. & Arantes, Paula R. & Amaro Jr., Edson**5867-5875 Robust estimation for circular data***by*Agostinelli, Claudio**5876-5885 Modelling series of studies with a common structure***by*Oliveira, Manuela M. & Mexia, Joao T.**5886-5899 Pair-perturbation influence functions and local influence in PCA***by*Huang, Yufen & Kuo, Mei-Ling & Wang, Tai-Ho**5900-5912 Generalised long-memory GARCH models for intra-daily volatility***by*Bordignon, Silvano & Caporin, Massimiliano & Lisi, Francesco**5913-5917 Convergence of random k-nearest-neighbour imputation***by*Dahl, Fredrik A.**5918-5926 Statistical inference for equivalence trials with ordinal responses: A latent normal distribution approach***by*Tang, Man-Lai & Poon, Wai-Yin**5927-5939 A new family of life distributions for dependent data: Estimation***by*Diaz-Garcia, Jose A. & Dominguez-Molina, Jose Ramon**5940-5948 The effect of sample size on the extended self-organizing map network--A market segmentation application***by*Kiang, Melody Y. & Hu, Michael Y. & Fisher, Dorothy M.**5949-5957 Inference via kernel smoothing of bootstrap P values***by*Racine, Jeffrey S. & MacKinnon, James G.**5958-5976 On testing a subset of regression parameters under heteroskedasticity***by*Wen, Miin-Jye & Chen, Shun-Yi & Chen, Hubert J.**5977-5993 Influence diagnostics for random effect survival models: Application to a recurrent infection study for kidney patients on portable dialysis***by*Xiang, Liming & Yau, Kelvin K.W. & Tse, S.K. & Lee, Andy H.**5994-6012 Visualization and inference based on wavelet coefficients, SiZer and SiNos***by*Park, Cheolwoo & Godtliebsen, Fred & Taqqu, Murad & Stoev, Stilian & Marron, J.S.**6013-6026 Detecting change-points in Markov chains***by*Polansky, Alan M.**6027-6043 Line and point cluster models for spatial health data***by*Lawson, Andrew B. & Simeon, Silvia & Kulldorff, Martin & Biggeri, Annibale & Magnani, Corrado**6044-6059 Boosting ridge regression***by*Tutz, Gerhard & Binder, Harald**6060-6069 The logistic regression model with response variables subject to randomized response***by*van den Hout, Ardo & van der Heijden, Peter G.M. & Gilchrist, Robert**6070-6083 Period analysis of variable stars: Temporal dependence and local optima***by*Hooper, Peter M.**6084-6101 Clustering data with measurement errors***by*Kumar, Mahesh & Patel, Nitin R.**6102-6113 A Bayesian semi-parametric bivariate failure time model***by*Nieto-Barajas, Luis E. & Walker, Stephen G.**6114-6122 Quintile stratification based on a misspecified propensity score in longitudinal treatment effectiveness analyses of ordinal doses***by*Leon, Andrew C. & Hedeker, Donald**6123-6137 A decomposition of Moran's I for clustering detection***by*Zhang, Tonglin & Lin, Ge**6138-6150 A new generalization of the Waring distribution***by*Rodriguez-Avi, J. & Conde-Sanchez, A. & Saez-Castillo, A.J. & Olmo-Jimenez, M.J.**6151-6165 The use of cumulative sums for detection of changepoints in the rate parameter of a Poisson Process***by*Galeano, Pedro**6166-6179 Classification by ensembles from random partitions of high-dimensional data***by*Ahn, Hongshik & Moon, Hojin & Fazzari, Melissa J. & Lim, Noha & Chen, James J. & Kodell, Ralph L.**6180-6196 On time series model selection involving many candidate ARMA models***by*Qian, Guoqi & Zhao, Xindong**6197-6211 Asymptotic variance estimation for the misclassification SIMEX***by*Kuchenhoff, Helmut & Lederer, Wolfgang & Lesaffre, Emmanuel**6212-6228 3D space-varying coefficient models with application to diffusion tensor imaging***by*Heim, S. & Fahrmeir, L. & Eilers, P.H.C. & Marx, B.D.**6229-6241 Semiparametric regression for assessing agreement using tolerance bands***by*Choudhary, Pankaj K.**6242-6251 Clustering with mixtures of log-concave distributions***by*Chang, George T. & Walther, Guenther**6252-6268 A robust estimator for the tail index of Pareto-type distributions***by*Vandewalle, B. & Beirlant, J. & Christmann, A. & Hubert, M.**6269-6284 A study of partial F tests for multiple linear regression models***by*Jamshidian, Mortaza & Jennrich, Robert I. & Liu, Wei**6285-6294 Genetic clustering of social networks using random walks***by*Firat, Aykut & Chatterjee, Sangit & Yilmaz, Mustafa**6295-6306 Maximally selected Chi-squared statistics and non-monotonic associations: An exact approach based on two cutpoints***by*Boulesteix, Anne-Laure & Strobl, Carolin**6307-6320 Archimedean copula estimation using Bayesian splines smoothing techniques***by*Lambert, Philippe**6321-6342 Bootstrap hypothesis testing for some common statistical problems: A critical evaluation of size and power properties***by*Martin, Michael A.**6343-6354 Levy flight approximations for scaled transformations of random walks***by*Dorea, Chang C.Y. & Guevara Otiniano, Cira E. & Matsushita, Raul & Rathie, Pushpa N.**6355-6366 Use of SVD-based probit transformation in clustering gene expression profiles***by*Liang, Faming**6367-6379 The Bayes factor for inequality and about equality constrained models***by*Klugkist, Irene & Hoijtink, Herbert**6380-6394 Support vector machines with adaptive Lq penalty***by*Liu, Yufeng & Helen Zhang, Hao & Park, Cheolwoo & Ahn, Jeongyoun**6395-6403 Detecting defects with image data***by*Benito, Monica & Pena, Daniel**6404-6422 Residual-based specification of a hidden random field included in a hierarchical spatial model***by*Soubeyrand, Samuel & Chadoeuf, Joel**6423-6434 Locating multiple interacting quantitative trait loci using robust model selection***by*Baierl, Andreas & Futschik, Andreas & Bogdan, Malgorzata & Biecek, Przemyslaw**6435-6446 A filter for "confidence interval P-values"***by*Phipps, Mary C. & Byron, Peter M.**6447-6458 Nonconservative exact small-sample inference for discrete data***by*Agresti, Alan & Gottard, Anna**6459-6475 Computation of estimates in segmented regression and a liquidity effect model***by*Gill, Ryan & Lee, Kiseop & Song, Seongjoo**6476-6487 Using radial basis function networks and significance testing to select effective siRNA sequences***by*Takasaki, Shigeru & Kawamura, Yoshihoro**6488-6497 The Koul-Susarla-Van Ryzin and weighted least squares estimates for censored linear regression model: A comparative study***by*Bao, Yanchun & He, Shuyuan & Mei, Changlin**6498-6510 On testing equality of intraclass correlations under unequal family sizes***by*Naik, Dayanand N. & Helu, Amal**6511-6520 Likelihood approach for count data in longitudinal experiments***by*Goncalves, M. Helena & Salome Cabral, M. & Carme Ruiz de Villa, Maria & Escrich, Eduardo & Solanas, Montse**6521-6534 Bayesian estimation of survival and capture probabilities using logit link and photoidentification data***by*da-Silva, C.Q. & Gomes, P.V.S. & Stradioto, M.A.**6535-6542 A test for the equality of covariance matrices when the dimension is large relative to the sample sizes***by*Schott, James R.**6543-6556 An empirical study of a test for polynomial relationships in randomly right censored regression models***by*Zhang, Chun-Xia & Mei, Chang-Lin & Zhang, Jiang-She**6557-6564 On the versatility of the combination of the weighted log-rank statistics***by*Lee, Seung-Hwan**6565-6581 Testing the link when the index is semiparametric--a comparative study***by*Roca-Pardinas, Javier & Sperlich, Stefan**6582-6595 A data-augmentation method for infectious disease incidence data from close contact groups***by*Yang, Yang & Longini Jr., Ira M. & Elizabeth Halloran, M.**6596-6613 Estimating quantiles under sampling on two occasions with arbitrary sample designs***by*Rueda, M. & Munoz, J.F. & Gonzalez, S. & Arcos, A.**6614-6623 Nonlinear random effects mixture models: Maximum likelihood estimation via the EM algorithm***by*Wang, Xiaoning & Schumitzky, Alan & D'Argenio, David Z.**6624-6641 Simulation-based designs for multiperiod control***by*Gonzalez-Davila, Enrique & Dorta-Guerra, Roberto & Ginebra, Josep

### July 2007, Volume 51, Issue 11

**5205-5210 Advances in Mixture Models***by*Bohning, Dankmar & Seidel, Wilfried & Alfo, Macro & Garel, Bernard & Patilea, Valentin & Walther, Gunther**5211-5219 Estimating population sizes for capture-recapture sampling with binomial mixtures***by*Xuan Mao, Chang**5220-5235 Flexible random intercept models for binary outcomes using mixtures of normals***by*Caffo, Brian & An, Ming-Wen & Rohde, Charles**5236-5246 Mixture analysis of multivariate categorical data with covariates and missing entries***by*Formann, Anton K.**5247-5252 Fitting finite mixtures of generalized linear regressions in R***by*Grun, Bettina & Leisch, Friedrich**5253-5265 Robust semiparametric mixing for detecting differentially expressed genes in microarray experiments***by*Alfo, Marco & Farcomeni, Alessio & Tardella, Luca**5266-5294 Modelling nonlinear count time series with local mixtures of Poisson autoregressions***by*Carvalho, Alexandre X. & Tanner, Martin A.**5295-5304 Recent asymptotic results in testing for mixtures***by*Garel, Bernard**5305-5316 Imputation through finite Gaussian mixture models***by*Di Zio, Marco & Guarnera, Ugo & Luzi, Orietta**5317-5326 Bayesian analysis of an inverse Gaussian correlated frailty model***by*Kheiri, Soleiman & Kimber, Alan & Reza Meshkani, Mohammad**5327-5338 Extension of the mixture of factor analyzers model to incorporate the multivariate t-distribution***by*McLachlan, G.J. & Bean, R.W. & Ben-Tovim Jones, L.**5339-5351 Constrained monotone EM algorithms for finite mixture of multivariate Gaussians***by*Ingrassia, Salvatore & Rocci, Roberto**5352-5367 Variational approximations in Bayesian model selection for finite mixture distributions***by*McGrory, C.A. & Titterington, D.M.**5368-5376 A hierarchical mixture model for clustering three-way data sets***by*Vermunt, Jeroen K.**5377-5387 Mixture of two inverse Weibull distributions: Properties and estimation***by*Sultan, K.S. & Ismail, M.A. & Al-Moisheer, A.S.**5388-5401 Confidence intervals of the hazard rate function for discrete distributions using mixtures***by*Karlis, Dimitris & Patilea, Valentin**5402-5415 A Dirichlet process mixture model for the analysis of correlated binary responses***by*Jara, Alejandro & Jose Garcia-Zattera, Maria & Lesaffre, Emmanuel**5416-5428 Classification of large data sets with mixture models via sufficient EM***by*Steiner, P.M. & Hudec, M.**5429-5443 A stochastic EM algorithm for a semiparametric mixture model***by*Bordes, Laurent & Chauveau, Didier & Vandekerkhove, Pierre**5444-5451 Non-parametric log-concave mixtures***by*Eilers, Paul H.C. & Borgdorff, M.W.**5452-5466 Bayesian analysis of finite mixtures of multinomial and negative-multinomial distributions***by*Rufo, M.J. & Perez, C.J. & Martin, J.

### June 2007, Volume 51, Issue 10

**4788-4792 Statistics for Functional Data***by*Manteiga, Wenceslao Gonzalez & Vieu, Philippe**4793-4813 Estimation and inference in functional mixed-effects models***by*Antoniadis, Anestis & Sapatinas, Theofanis