Computational Statistics & Data Analysis, Volume 54

Volume 54, Number 1, January 2010

Section I: Computational Statistics

• 
  Edoardo Otranto:
  Identifying financial time series with similar dynamic conditional correlation. 1-15
• 
  N. Lin, R. Xi:
  Fast surrogates of U-statistics. 16-24
• 
  Xiao-Feng Wang, Zhaozhi Fan, Bin Wang:
  Estimating smooth distribution function in the presence of heteroscedastic measurement errors. 25-36
• 
  Valentin Todorov, Peter Filzmoser:
  Robust statistic for the one-way MANOVA. 37-48
• 
  Matti Vihola:
  Grapham: Graphical models with adaptive random walk Metropolis algorithms. 49-54

Section II: Statistical Methodology for Data Analysis

• 
  G. Y. Zou:
  Confidence interval estimation under inverse sampling. 55-64
• 
  Yong Zang, Wing Kam Fung, Gang Zheng:
  Asymptotic powers for matched trend tests and robust matched trend tests in case-control genetic association studies. 65-77
• 
  Juan R. Gonzalez, Edsel A. Peña, Pedro Delicado:
  Confidence intervals for median survival time with recurrent event data. 78-89
• 
  Ivan Kojadinovic:
  Hierarchical clustering of continuous variables based on the empirical copula process and permutation linkages. 90-108
• 
  Alan David Hutson:
  A multi-rater nonparametric test of agreement and corresponding agreement plot. 109-119
• 
  Nizar Bouguila:
  On multivariate binary data clustering and feature weighting. 120-134
• 
  N. Balakrishnan, Xingqiu Zhao:
  A nonparametric test for the equality of counting processes with panel count data. 135-142
• 
  Chiara Tommasi, Jesús López-Fidalgo:
  Bayesian optimum designs for discriminating between models with any distribution. 143-150
• 
  Arturo J. Fernández:
  Two-sided tolerance intervals in the exponential case: Corrigenda and generalizations. 151-162
• 
  (Withdrawn) The functional singular value decomposition for bivariate stochastic processes. 163-172
• 
  Woojoo Lee, Jian Qing Shi, Youngjo Lee:
  Approximate conditional inference in mixed-effects models with binary data. 173-184
• 
  Ancha Xu, Yincai Tang:
  Reference analysis for Birnbaum-Saunders distribution. 185-192
• 
  Ying Yang, Jian Kang:
  Joint analysis of mixed Poisson and continuous longitudinal data with nonignorable missing values. 193-207
• 
  Keunbaik Lee, Donald Mercante:
  Longitudinal nominal data analysis using marginalized models. 208-218
• 
  S. C. Chuang, Y. C. Hung:
  Uniform design over general input domains with applications to target region estimation in computer experiments. 219-232
• 
  Alan M. Polansky:
  Ordered inference using observed confidence levels. 233-244

Volume 54, Number 2, February 2010

Section I: Computational Statistics

• 
  Taoufik Bouezmarni, Jeroen V. K. Rombouts:
  Nonparametric density estimation for positive time series. 245-261
• 
  Christian de Peretti, Carole Siani:
  Graphical methods for investigating the finite-sample properties of confidence regions. 262-271
• 
  Sonjoy Das, James C. Spall, Roger G. Ghanem:
  Efficient Monte Carlo computation of Fisher information matrix using prior information. 272-289
• 
  Alexandros Karatzoglou, Ingo Feinerer:
  Kernel-based machine learning for fast text mining in R. 290-297
• 
  Dunlei Cheng, Adam J. Branscum, James D. Stamey:
  A Bayesian approach to sample size determination for studies designed to evaluate continuous medical tests. 298-307

Section II: Statistical Methodology for Data Analysis

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

Volume 54, Number 3, March 2010

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

Volume 54, Number 4, April 2010

• 
  Reinhard Vonthein, Andreas Ziegler:
  On the Use of the Terms Repeatability and Reproducibility Regarding "Reproducibility of genotypes as measured by the Affymetrix GeneChip(R) 100 K Human Mapping Array Set" by Fridley and colleagues (2008) Comput. Stat. Data Anal. 52: 5367-5374. 803

Section I: Computational Statistics

• 
  Joachim Röhmel:
  Comparing two independent samples using the risk difference under inverse sampling. 804-805
• 
  R. J. O'Hara Hines, W. G. S. Hines:
  Indices for covariance mis-specification in longitudinal data analysis with no missing responses and with MAR drop-outs. 806-815
• 
  Raffaele Argiento, Alessandra Guglielmi, Antonio Pievatolo:
  Bayesian density estimation and model selection using nonparametric hierarchical mixtures. 816-832
• 
  Dayna P. Saldaña-Zepeda, Humberto Vaquera-Huerta, Barry C. Arnold:
  A goodness of fit test for the Pareto distribution in the presence of Type II censoring, based on the cumulative hazard function. 833-842
• 
  Michaël Schyns, Gentiane Haesbroeck, Frank Critchley:
  RelaxMCD: Smooth optimisation for the Minimum Covariance Determinant estimator. 843-857
• 
  Pierre Duchesne, Pierre Lafaye de Micheaux:
  Computing the distribution of quadratic forms: Further comparisons between the Liu-Tang-Zhang approximation and exact methods. 858-862

Section II: Statistical Methodology for Data Analysis

• 
  Schalk W. Human, Subha Chakraborti, C. F. Smit:
  Shewhart-type control charts for variation in phase I data analysis. 863-874
• 
  Adeniyi J. Adewale, Xiaojian Xu:
  Robust designs for generalized linear models with possible overdispersion and misspecified link functions. 875-890
• 
  Yanrong Cao, Haiqun Lin, Tracy Zhou Wu, Yan Yu:
  Penalized spline estimation for functional coefficient regression models. 891-905
• 
  Ren-Dao Ye, Tie-Feng Ma, Song-Gui Wang:
  Inferences on the common mean of several inverse Gaussian populations. 906-915
• 
  Clair L. Alston, Kerrie L. Mengersen:
  Allowing for the effect of data binning in a Bayesian Normal mixture model. 916-923
• 
  Ramesh C. Gupta, Sergey Lvin, Cheng Peng:
  Estimating turning points of the failure rate of the extended Weibull distribution. 924-934
• 
  Rodrigo B. Silva, Wagner Barreto-Souza, Gauss M. Cordeiro:
  A new distribution with decreasing, increasing and upside-down bathtub failure rate. 935-944
• 
  Rodrigo Rossetto Pescim, Clarice G. B. Demétrio, Gauss M. Cordeiro, Edwin M. M. Ortega, Mariana R. Urbano:
  The beta generalized half-normal distribution. 945-957
• 
  Yulia R. Gel:
  Test of fit for a Laplace distribution against heavier tailed alternatives. 958-965
• 
  Vivian Lanius, Ursula Gather:
  Robust online signal extraction from multivariate time series. 966-975
• 
  Li-Ping Zhu, Zhou Yu, Li-Xing Zhu:
  A sparse eigen-decomposition estimation in semiparametric regression. 976-986
• 
  Esmeralda A. Ramalho, Joaquim J. S. Ramalho:
  Is neglected heterogeneity really an issue in binary and fractional regression models? A simulation exercise for logit, probit and loglog models. 987-1001
• 
  Luis Hernando Vanegas, Francisco José de A. Cysneiros:
  Assessment of diagnostic procedures in symmetrical nonlinear regression models. 1002-1016
• 
  Elizabeth M. Hashimoto, Edwin M. M. Ortega, Vicente G. Cancho, Gauss M. Cordeiro:
  The log-exponentiated Weibull regression model for interval-censored data. 1017-1035
• 
  Liya Fu, You-Gan Wang, Zhidong Bai:
  Rank regression for analysis of clustered data: A natural induced smoothing approach. 1036-1050
• 
  Nicoleta Serban:
  Noise reduction for enhanced component identification in multi-dimensional biomolecular NMR studies. 1051-1065
• 
  Wei Gao, Ning-Zhong Shi, Man-Lai Tang, Lianyan Fu, Guo-Liang Tian:
  Unified generalized iterative scaling and its applications. 1066-1078
• 
  Haiyan Su, Hua Liang:
  An empirical likelihood-based method for comparison of treatment effects - Test of equality of coefficients in linear models. 1079-1088
• 
  Junlong Zhao, Xiuli Zhao:
  Dimension reduction using the generalized gradient direction. 1089-1102
• 
  Michael Bruce Swift:
  A simulation study comparing methods for calculating confidence intervals for directly standardized rates. 1103-1108
• 
  Ling Chen, Jianguo Sun:
  A multiple imputation approach to the analysis of interval-censored failure time data with the additive hazards model. 1109-1116
• 
  Toru Ogura:
  A variable selection method in principal canonical correlation analysis. 1117-1123

Section III: Special Applications

• 
  George C. Tseng:
  Quantile map: Simultaneous visualization of patterns in many distributions with application to tandem mass spectrometry. 1124-1137
• 
  Paul Thompson, Yuzhi Cai, Rana Moyeed, Dominic Reeve, Julian Stander:
  Bayesian nonparametric quantile regression using splines. 1138-1150
• 
  Nicholas T. Longford:
  Small area estimation with spatial similarity. 1151-1166
• 
  Damien Garcia:
  Robust smoothing of gridded data in one and higher dimensions with missing values. 1167-1178
• 
  Dong Wang:
  Modeling epigenetic modifications under multiple treatment conditions. 1179-1189
• 
  Bruce R. Hargreaves, Thomas P. McWilliams:
  Polynomial Trendline function flaws in Microsoft Excel. 1190-1196

Volume 54, Number 5, May 2010

Section I: Computational Statistics

• 
  Junni L. Zhang, Wolfgang K. Härdle:
  The Bayesian Additive Classification Tree applied to credit risk modelling. 1197-1205
• 
  Helga Wagner, Regina Tüchler:
  Bayesian estimation of random effects models for multivariate responses of mixed data. 1206-1218
• 
  Laura M. Sangalli, Piercesare Secchi, Simone Vantini, Valeria Vitelli:
  k-mean alignment for curve clustering. 1219-1233

Section II: Statistical Methodology for Data Analysis

• 
  Zhao Yang, James W. Hardin, Cheryl L. Addy:
  Score tests for overdispersion in zero-inflated Poisson mixed models. 1234-1246
• 
  Namgil Lee, Jong-Min Kim:
  Conversion of categorical variables into numerical variables via Bayesian network classifiers for binary classifications. 1247-1265
• 
  Camila Borelli Zeller, Filidor V. Labra, Victor H. Lachos, Narayanaswamy Balakrishnan:
  Influence analyses of skew-normal/independent linear mixed models. 1266-1280
• 
  Dewi Rahardja, Dean M. Young:
  Credible sets for risk ratios in over-reported two-sample binomial data using the double-sampling scheme. 1281-1287
• 
  Marcus Hutter, Minh-Ngoc Tran:
  Model selection with the Loss Rank Principle. 1288-1306
• 
  Artur J. Lemonte, Silvia L. P. Ferrari, Francisco Cribari-Neto:
  Improved likelihood inference in Birnbaum-Saunders regressions. 1307-1316
• 
  Melissa A. Bingham, Daniel J. Nordman, Stephen B. Vardeman:
  Finite-sample investigation of likelihood and Bayes inference for the symmetric von Mises-Fisher distribution. 1317-1327
• 
  Wan-Lun Wang, Tsai-Hung Fan:
  ECM-based maximum likelihood inference for multivariate linear mixed models with autoregressive errors. 1328-1341
• 
  Assam Pryseley, Abel Tilahun, Ariel Alonso, Geert Molenberghs:
  Using earlier measures in a longitudinal sequence as a potential surrogate for a later one. 1342-1354
• 
  Nicolas Verzelen:
  Data-driven neighborhood selection of a Gaussian field. 1355-1371
• 
  Shu-Fei Wu, Ying-Po Lin, Yuh-Ru Yu:
  One-stage multiple comparisons with the control for exponential location parameters under heteroscedasticity. 1372-1380
• 
  Nobuoki Eshima, Minoru Tabata:
  Entropy coefficient of determination for generalized linear models. 1381-1389
• 
  Ricardo Fraiman, Ana Justel, Marcela Svarc:
  Pattern recognition via projection-based kNN rules. 1390-1403
• 
  Steve Su:
  Erratum to: "Confidence intervals for quantiles using generalized lambda distributions" [Computational Statistics & Data Analysis 53 (2009) 3324-3333]. 1404

Section III: Special Applications

• 
  David R. J. Pleydell, Stéphane Chrétien:
  Mixtures of GAMs for habitat suitability analysis with overdispersed presence/absence data. 1405-1418

Volume 54, Number 6, June 2010

Section I: Computational Statistics

• 
  Yaming Yu:
  Strict monotonicity and convergence rate of Titterington's algorithm for computing D-optimal designs. 1419-1425
• 
  Bart Vermeulen, Peter Goos, Martina Vandebroek:
  Obtaining more information from conjoint experiments by best-worst choices. 1426-1433
• 
  Andrew G. Glen:
  Accurate estimation with one order statistic. 1434-1441
• 
  Kaspar Rufibach:
  An active set algorithm to estimate parameters in generalized linear models with ordered predictors. 1442-1456
• 
  José Cortiñas Abrahantes, Tomasz Burzykowski:
  Simplified modeling strategies for surrogate validation with multivariate failure-time data. 1457-1466
• 
  Linzhi Xu, Jiajia Zhang:
  An EM-like algorithm for the semiparametric accelerated failure time gamma frailty model. 1467-1474
• 
  Mortaza Jamshidian, Wei Liu, Frank Bretz:
  Simultaneous confidence bands for all contrasts of three or more simple linear regression models over an interval. 1475-1483
• 
  Kris De Brabanter, Jos De Brabanter, Johan A. K. Suykens, Bart De Moor:
  Optimized fixed-size kernel models for large data sets. 1484-1504
• 
  Dennis K. J. Lin, Chris Sharpe, Peter Winker:
  Optimized U-type designs on flexible regions. 1505-1515

Section II: Statistical Methodology for Data Analysis

• 
  Raffaella Piccarreta:
  Binary trees for dissimilarity data. 1516-1524
• 
  Yan Yang, Douglas G. Simpson:
  Unified computational methods for regression analysis of zero-inflated and bound-inflated data. 1525-1534
• 
  Koen W. De Bock, Kristof Coussement, Dirk Van den Poel:
  Ensemble classification based on generalized additive models. 1535-1546
• 
  Debasis Kundu, Hatem Howlader:
  Bayesian inference and prediction of the inverse Weibull distribution for Type-II censored data. 1547-1558
• 
  Swagata Nandi, Isha Dewan:
  An EM algorithm for estimating the parameters of bivariate Weibull distribution under random censoring. 1559-1569
• 
  Eric J. Beh:
  The aggregate association index. 1570-1580
• 
  D. G. Chen, Yuhlong Lio:
  Parameter estimations for generalized exponential distribution under progressive type-I interval censoring. 1581-1591
•