# Elsevier

# Computational Statistics & Data Analysis

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### 2008, Volume 52, Issue 5

**2538-2548 Improved AIC selection strategy for survival analysis***by*Liang, Hua & Zou, Guohua**2549-2559 LogitBoost with errors-in-variables***by*Sexton, Joseph & Laake, Petter**2560-2577 Point estimates for variance-structure parameters in Bayesian analysis of hierarchical models***by*He, Yi & Hodges, James S.**2578-2587 Classification of gene functions using support vector machine for time-course gene expression data***by*Park, Changyi & Koo, Ja-Yong & Kim, Sujong & Sohn, Insuk & Lee, Jae Won**2588-2603 Spectral preconditioning of Krylov spaces: Combining PLS and PC regression***by*Kondylis, Athanassios & Whittaker, Joe**2604-2622 Efficient and accurate approximate Bayesian inference with an application to insurance data***by*Streftaris, George & Worton, Bruce J.**2623-2631 Nonparametric estimation of conditional ROC curves: Application to discrimination tasks in computerized detection of early breast cancer***by*Lopez-de-Ullibarri, Ignacio & Cao, Ricardo & Cadarso-Suarez, Carmen & Lado, Maria J.**2632-2649 Bayesian model determination for multivariate ordinal and binary data***by*Webb, Emily L. & Forster, Jonathan J.**2650-2668 Hierarchical multiresolution approaches for dense point-level breast cancer treatment data***by*Liang, Shengde & Banerjee, Sudipto & Bushhouse, Sally & Finley, Andrew O. & Carlin, Bradley P.**2669-2681 Improving the performance of kurtosis estimator***by*An, Lihua & Ahmed, S. Ejaz**2682-2691 Consistent estimation in regression models for the drift function in some continuous time models***by*Kim, Myung Suk & Wang, Suojin**2692-2702 On the hazard function of Birnbaum-Saunders distribution and associated inference***by*Kundu, Debasis & Kannan, Nandini & Balakrishnan, N.**2703-2713 Increasing the power: A practical approach to goodness-of-fit test for logistic regression models with continuous predictors***by*Xie, Xian-Jin & Pendergast, Jane & Clarke, William**2714-2724 Large sample approximations for the LR statistic for equality of the smallest eigenvalues of a covariance matrix under elliptical population***by*Watanabe, Daisuke & Okada, Susumu & Fujikoshi, Yasunori & Sugiyama, Takakazu**2725-2738 Exact likelihood inference for two exponential populations under joint Type-II censoring***by*Balakrishnan, N. & Rasouli, Abbas**2739-2756 Approximate regenerative-block bootstrap for Markov chains***by*Bertail, Patrice & Clemencon, Stephan**2757-2777 Local polynomial estimation in partial linear regression models under dependence***by*Aneiros-Perez, G. & Vilar-Fernandez, J.M.**2778-2793 On properties of predictors derived with a two-step bootstrap model averaging approach--A simulation study in the linear regression model***by*Buchholz, Anika & Hollander, Norbert & Sauerbrei, Willi**2794-2807 Conditional-mean least-squares fitting of Gaussian Markov random fields to Gaussian fields***by*Cressie, Noel & Verzelen, Nicolas**2808-2828 Robust bandwidth selection in semiparametric partly linear regression models: Monte Carlo study and influential analysis***by*Boente, Graciela & Rodriguez, Daniela**2829-2839 Semi-parametric specification tests for mixing distributions***by*Fang, Yue

### 2008, Volume 52, Issue 4

**1765-1791 Interacting sequential Monte Carlo samplers for trans-dimensional simulation***by*Jasra, Ajay & Doucet, Arnaud & Stephens, David A. & Holmes, Christopher C.**1792-1805 A time series bootstrap procedure for interpolation intervals***by*Alonso, Andres M. & Sipols, Ana E.**1806-1820 Identify LD blocks based on hierarchical spatial data***by*Tomita, Makoto & Hatsumichi, Masahiro & Kurihara, Koji**1821-1836 Bayes estimators for reliability measures in geometric distribution model using masked system life test data***by*Sarhan, Ammar M. & Kundu, Debasis**1837-1849 Bootstrap confidence intervals for principal response curves***by*Timmerman, Marieke E. & Ter Braak, Cajo J.F.**1850-1859 The likelihood ratio test for hidden Markov models in two-sample problems***by*Dannemann, Jorn & Holzmann, Hajo**1860-1872 Time series clustering and classification by the autoregressive metric***by*Corduas, Marcella & Piccolo, Domenico**1873-1883 Generalized exponential distribution: Bayesian estimations***by*Kundu, Debasis & Gupta, Rameshwar D.**1884-1895 Fourier methods for testing multivariate independence***by*Meintanis, Simos G. & Iliopoulos, George**1896-1907 Fixed-effect variable selection in linear mixed models using R2 statistics***by*Orelien, Jean G. & Edwards, Lloyd J.**1908-1927 Sliced mean variance-covariance inverse regression***by*Sheather, Simon J. & McKean, Joseph W. & Crimin, Kimberly**1928-1941 A local boosting algorithm for solving classification problems***by*Zhang, Chun-Xia & Zhang, Jiang-She**1942-1957 Self-controlled case series analyses: Small-sample performance***by*Musonda, Patrick & Hocine, Mounia N. & Whitaker, Heather J. & Farrington, C. Paddy**1958-1970 Assessing continuous bivariate effects among different groups through nonparametric regression models: An application to breast cancer detection***by*Roca-Pardinas, Javier & Cadarso-Suarez, Carmen & Tahoces, Pablo G. & Lado, Maria J.**1971-1983 Characterizing the generalized lambda distribution by L-moments***by*Karvanen, Juha & Nuutinen, Arto**1984-2003 Two-mode multi-partitioning***by*Rocci, Roberto & Vichi, Maurizio**2004-2021 Bootstrap variants of the Akaike information criterion for mixed model selection***by*Shang, Junfeng & Cavanaugh, Joseph E.**2022-2041 Subsampling techniques and the Jackknife methodology in the estimation of the extremal index***by*Gomes, M. Ivette & Hall, Andreia & Miranda, M. Cristina**2042-2065 Maximum trimmed likelihood estimator for multivariate mixed continuous and categorical data***by*Cheng, Tsung-Chi & Biswas, Atanu**2066-2078 On multistage ranked set sampling for distribution and median estimation***by*Al-Saleh, Mohammad Fraiwan & Samuh, Monjed Hisham**2079-2097 Lifetime analysis based on the generalized Birnbaum-Saunders distribution***by*Leiva, Victor & Riquelme, Marco & Balakrishnan, N. & Sanhueza, Antonio**2098-2109 How useful are approximations to mean and variance of the index of dissimilarity?***by*Mulekar, Madhuri S. & Knutson, John C. & Champanerkar, Jyoti A.**2110-2128 Parametric and nonparametric Bayesian model specification: A case study involving models for count data***by*Krnjajic, Milovan & Kottas, Athanasios & Draper, David**2129-2157 Semi-parametric nonlinear regression and transformation using functional networks***by*Castillo, Enrique & Hadi, Ali S. & Lacruz, Beatriz & Pruneda, Rosa E.**2158-2165 Simultaneous confidence intervals based on the percentile bootstrap approach***by*Mandel, Micha & Betensky, Rebecca A.**2166-2176 Faster ARMA maximum likelihood estimation***by*McLeod, A.I. & Zhang, Y.**2177-2184 Social networks of author-coauthor relationships***by*Said, Yasmin H. & Wegman, Edward J. & Sharabati, Walid K. & Rigsby, John T.**2185-2198 A goodness-of-fit test for normality based on polynomial regression***by*Coin, Daniele**2199-2217 Performance of balanced two-stage empirical predictors of realized cluster latent values from finite populations: A simulation study***by*San Martino, Silvina & Singer, Julio M. & Stanek III, Edward J.**2218-2227 ANOVA extensions for mixed discrete and continuous data***by*de Leon, A.R. & Zhu, Y.**2228-2237 On the number of principal components: A test of dimensionality based on measurements of similarity between matrices***by*Dray, Stephane**2238-2248 Confidence intervals for the difference between two means***by*Miao, Weiwen & Chiou, Paul**2249-2260 Empirical characterization of random forest variable importance measures***by*Archer, Kellie J. & Kimes, Ryan V.**2261-2271 On imputing continuous data when the eventual interest pertains to ordinalized outcomes via threshold concept***by*Demirtas, Hakan

### 2008, Volume 52, Issue 3

**1269-1280 Forecasting time series using principal component analysis with respect to instrumental variables***by*Cornillon, P.-A. & Imam, W. & Matzner-Lober, E.**1281-1291 Non-parametric Bayesian estimation for multitype branching processes through simulation-based methods***by*Gonzalez, M. & Martin, J. & Martinez, R. & Mota, M.**1292-1303 Time-adaptive quantile regression***by*Moller, Jan Kloppenborg & Nielsen, Henrik Aalborg & Madsen, Henrik**1304-1314 An extension of three-parameter Burr III distribution for low-flow frequency analysis***by*Shao, Quanxi & Chen, Yongqin D. & Zhang, Lu**1315-1322 A maximum likelihood approximation method for Dirichlet's parameter estimation***by*Wicker, Nicolas & Muller, Jean & Kalathur, Ravi Kiran Reddy & Poch, Olivier**1323-1334 Step-up and step-down procedures controlling the number and proportion of false positives***by*Somerville, Paul N. & Hemmelmann, Claudia**1335-1346 Confidence intervals for parameters of two diagnostic tests in the absence of a gold standard***by*Stamey, James D. & Boese, Doyle H. & Young, Dean M.**1347-1361 Flexible modelling of random effects in linear mixed models--A Bayesian approach***by*Ho, Remus K.W. & Hu, Inchi**1362-1372 Classification tree analysis using TARGET***by*Gray, J. Brian & Fan, Guangzhe**1373-1386 Predicting unobserved links in incompletely observed networks***by*Marchette, David J. & Priebe, Carey E.**1387-1398 Testing the significance of cell-cycle patterns in time-course microarray data using nonparametric quadratic inference functions***by*Tsai, Guei-Feng & Qu, Annie**1399-1412 Extended rank analysis of covariance adjusting for local correlations***by*Chen, Chu-Chih**1413-1429 A Bayesian propensity score adjustment for latent variable modeling and MCMC algorithm***by*Hoshino, Takahiro**1430-1440 Estimation and prediction from gamma distribution based on record values***by*Sultan, K.S. & AL-Dayian, G.R. & Mohammad, H.H.**1441-1457 Model-based clustering for longitudinal data***by*De la Cruz-Mesia, Rolando & Quintana, Fernando A. & Marshall, Guillermo**1458-1476 Varying-coefficient single-index model***by*Wong, Heung & Ip, Wai-cheung & Zhang, Riquan**1477-1489 An extension of likelihood-ratio-test for testing linear hypotheses in the baseline-category logit model***by*Pardo, L. & Pardo, M.C.**1490-1499 A class of discrete distributions arising from difference of two random variables***by*Ong, S.H. & Shimizu, K. & Min Ng, Choung**1500-1515 Centre and Range method for fitting a linear regression model to symbolic interval data***by*Lima Neto, Eufrasio de A. & de Carvalho, Francisco de A.T.**1516-1523 The wrapped stable family of distributions as a flexible model for circular data***by*Pewsey, Arthur**1524-1532 Mixture cure models for multivariate survival data***by*Yu, Binbing & Peng, Yingwei**1533-1548 A simulation study comparing weighted estimating equations with multiple imputation based estimating equations for longitudinal binary data***by*Beunckens, Caroline & Sotto, Cristina & Molenberghs, Geert**1549-1571 Modelling nonlinearities and heavy tails via threshold normal mixture GARCH models***by*Giannikis, D. & Vrontos, I.D. & Dellaportas, P.**1572-1586 Choosing cross-over designs when few subjects are available***by*Bate, S.T. & Godolphin, E.J. & Godolphin, J.D.**1587-1603 Statistical inference and prediction for the Weibull process with incomplete observations***by*Yu, Jun-Wu & Tian, Guo-Liang & Tang, Man-Lai**1604-1614 Censored depth quantiles***by*Debruyne, M. & Hubert, M. & Portnoy, S. & Vanden Branden, K.**1615-1635 Bayesian prediction of the transient behaviour and busy period in short- and long-tailed GI/G/1 queueing systems***by*Ausin, M. Concepcion & Wiper, Michael P. & Lillo, Rosa E.**1636-1649 Sums of exchangeable Bernoulli random variables for family and litter frequency data***by*Yu, Chang & Zelterman, Daniel**1650-1660 Adjusted R2-type measures for Tweedie models***by*Ricci, Lila & Martinez, Raul**1661-1673 A small sample comparison of maximum likelihood, moments and L-moments methods for the asymmetric exponential power distribution***by*Delicado, P. & Goria, M.N.**1674-1693 Bayesian inference for nonlinear multivariate diffusion models observed with error***by*Golightly, A. & Wilkinson, D.J.**1694-1711 Outlier identification in high dimensions***by*Filzmoser, Peter & Maronna, Ricardo & Werner, Mark**1712-1727 Principal component analysis for data containing outliers and missing elements***by*Serneels, Sven & Verdonck, Tim**1728-1745 Estimation in bivariate nonnormal distributions with stochastic variance functions***by*Tiku, Moti L. & Islam, M. Qamarul & Sazak, Hakan S.**1746-1763 Computing and using residuals in time series models***by*Mauricio, Jose Alberto

### 2007, Volume 52, Issue 2

**616-617 Special Issue on Statistical Algorithms and Software***by*Gatu, Cristian & Gentle, James & Hinde, John & Huh, Moon**618-634 A software framework for data analysis***by*Kratzig, Markus**635-649 GRAFT, a complete system for data fusion***by*Aluja-Banet, Tomas & Daunis-i-Estadella, Josep & Pellicer, David**650-662 Using mathematical expressions in a statistical language***by*Fujiwara, Takeshi & Nakano, Junji & Yamamoto, Yoshikazu**663-679 Cobra: A package for co-breaking analysis***by*Massmann, Michael**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.

### 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

### 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