Computational Statistics & Data Analysis, Volume 57

Volume 57, Number 1, January 2013

• 
  Chew-Seng Chee, Yong Wang:
  Minimum quadratic distance density estimation using nonparametric mixtures. 1-16
• 
  Asis Kumar Chattopadhyay, Saptarshi Mondal, Tanuka Chattopadhyay:
  Independent Component Analysis for the objective classification of globular clusters of the galaxy NGC 5128. 17-32
• 
  Xingqiu Zhao, Xingwei Tong, Jianguo Sun:
  Robust estimation for panel count data with informative observation times. 33-40
• 
  Yongdai Kim, Joungyoun Kim, Woncheol Jang:
  An EM algorithm for the proportional hazards model with doubly censored data. 41-51
• 
  Mahdi Teimouri, Saralees Nadarajah:
  On simulating Balakrishnan skew-normal variates. 52-58
• 
  Sangyeol Lee:
  A maximum entropy type test of fit: Composite hypothesis case. 59-67
• 
  Larissa Santana Barreto, Audrey H. M. A. Cysneiros, Francisco Cribari-Neto:
  Improved Birnbaum-Saunders inference under type II censoring. 68-81
• 
  Jason H. Stover, Matthew C. Ulm:
  Hyperparameter estimation and plug-in kernel density estimates for maximum a posteriori land-cover classification with multiband satellite data. 82-94

Computational Statistics

• 
  Joaquín A. Pacheco, Silvia Casado, Santiago Porras:
  Exact methods for variable selection in principal component analysis: Guide functions and pre-selection. 95-111

Statistical Methodology for Data Analysis

• 
  Peter X.-K. Song, R. Keith Freeland, Atanu Biswas, Shulin Zhang:
  Statistical analysis of discrete-valued time series using categorical ARMA models. 112-124
• 
  Byungsoo Kim, Sangyeol Lee:
  Robust estimation for the covariance matrix of multivariate time series based on normal mixtures. 125-140

Computational Statistics

• 
  Wei Liu, Pascal Ah-Kine, Frank Bretz, Anthony J. Hayter:
  Exact simultaneous confidence intervals for a finite set of contrasts of three, four or five generally correlated normal means. 141-148

Special Applications

• 
  Azizur Rahman, Ann Harding, Robert Tanton, Shuangzhe Liu:
  Simulating the characteristics of populations at the small area level: New validation techniques for a spatial microsimulation model in Australia. 149-165

Statistical Methodology for Data Analysis

• 
  N. Balakrishnan, Debasis Kundu:
  Hybrid censoring: Models, inferential results and applications. 166-209
• 
  Chyong-Mei Chen, Tai-Fang C. Lu, Chao-Min Hsu:
  Association estimation for clustered failure time data with a cure fraction. 210-222
• 
  Tao Wang, Lixing Zhu:
  Sparse sufficient dimension reduction using optimal scoring. 223-232

Computational Statistics

• 
  Mehreteab Aregay, Ziv Shkedy, Geert Molenberghs:
  A hierarchical Bayesian approach for the analysis of longitudinal count data with overdispersion: A simulation study. 233-245

Statistical Methodology for Data Analysis

• 
  Guogen Shan, Changxing Ma, Alan David Hutson, Gregory E. Wilding:
  Some tests for detecting trends based on the modified Baumgartner-Weiß-Schindler statistics. 246-261
• 
  Zhenyu Liu, Reza Modarres, Mengta Yang:
  A multivariate control quantile test using data depth. 262-270
• 
  Debasis Kundu, Arjun K. Gupta:
  Bayes estimation for the Marshall-Olkin bivariate Weibull distribution. 271-281
• 
  Tian Siva Tian, Gareth M. James:
  Interpretable dimension reduction for classifying functional data. 282-296
• 
  Heung Wong, Riquan Zhang, Bartholomew Leung, Zhensheng Huang:
  Testing the significance of index parameters in varying-coefficient single-index models. 297-308
• 
  Li-Ching Chen, Jiun-Yi Wang:
  Testing the fit of the logistic model for matched case-control studies. 309-319

Computational Statistics

• 
  Christopher C. Drovandi, James M. McGree, Anthony N. Pettitt:
  Sequential Monte Carlo for Bayesian sequentially designed experiments for discrete data. 320-335

Statistical Methodology for Data Analysis

• 
  Cheolwoo Park, Jib Huh:
  Statistical inference and visualization in scale-space using local likelihood. 336-348

Special Applications

• 
  C. Bruffaerts, Bram De Rock, Catherine Dehon:
  The robustness of the hyperbolic efficiency estimator. 349-363

Statistical Methodology for Data Analysis

• 
  Ivana Horová, Jan Kolácek, Kamila Vopatová:
  Full bandwidth matrix selectors for gradient kernel density estimate. 364-376
• 
  Vera Hofer, Georg Krempl:
  Drift mining in data: A framework for addressing drift in classification. 377-391

Computational Statistics

• 
  Jianmin Wu, Peter M. Bentler:
  Limited information estimation in binary factor analysis: A review and extension. 392-403

Statistical Methodology for Data Analysis

• 
  Norbert Reményi, Brani Vidakovic:
  Λ-neighborhood wavelet shrinkage. 404-416
• 
  Melvin M. Varughese:
  Parameter estimation for multivariate diffusion systems. 417-428

Computational Statistics

• 
  Benjamin T. Rolfs, Bala Rajaratnam:
  A note on the lack of symmetry in the graphical lasso. 429-434

Statistical Methodology for Data Analysis

• 
  Yanlin Tang, Huixia Judy Wang, Zhongyi Zhu:
  Variable selection in quantile varying coefficient models with longitudinal data. 435-449
• 
  Larissa A. Matos, Victor H. Lachos, Narayanaswamy Balakrishnan, Filidor V. Labra:
  Influence diagnostics in linear and nonlinear mixed-effects models with censored data. 450-464

Computational Statistics

• 
  Wei Shao, Guangbao Guo, Fanyu Meng, Shuqin Jia:
  An efficient proposal distribution for Metropolis-Hastings using a B-splines technique. 465-478

Statistical Methodology for Data Analysis

• 
  Zeng-Hua Lu:
  Halfline tests for multivariate one-sided alternatives. 479-490
• 
  Xiaolin Chen, Qihua Wang:
  Variable selection in the additive rate model for recurrent event data. 491-503
• 
  Brian L. Mark, Yariv Ephraim:
  An EM algorithm for continuous-time bivariate Markov chains. 504-517
• 
  Maria de Fátima Brilhante, M. Ivette Gomes, Dinis Pestana:
  A simple generalisation of the Hill estimator. 518-535
• 
  Michele Aquaro, Pavel Cízek:
  One-step robust estimation of fixed-effects panel data models. 536-548
• 
  Mahmoud Torabi:
  Likelihood inference in generalized linear mixed measurement error models. 549-557
• 
  Hohsuk Noh, Anouar El Ghouch, Ingrid Van Keilegom:
  Assessing model adequacy in possibly misspecified quantile regression. 558-569
• 
  Amy Ming-Fang Yen, Tony Hsiu-Hsi Chen:
  Stochastic models for multiple pathways of temporal natural history on co-morbidity of chronic disease. 570-588

Special Applications

• 
  Heung Wong, Quanxi Shao, Wai-Cheung Ip:
  Modeling respiratory illnesses with change point: A lesson from the SARS epidemic in Hong Kong. 589-599

Statistical Methodology for Data Analysis

• 
  Ryan Janicki, Donald Malec:
  A Bayesian model averaging approach to analyzing categorical data with nonignorable nonresponse. 600-614

Computational Statistics

• 
  Huazhen Lin, Heng Peng:
  Smoothed rank correlation of the linear transformation regression model. 615-630

Statistical Methodology for Data Analysis

• 
  Abdallah Mkhadri, Mohamed Ouhourane:
  An extended variable inclusion and shrinkage algorithm for correlated variables. 631-644

Special Applications

• 
  Junfeng Liu, Yi Wang:
  On Crevecoeur's bathtub-shaped failure rate model. 645-660

Computational Statistics

• 
  Michael Salter-Townshend, Thomas Brendan Murphy:
  Variational Bayesian inference for the Latent Position Cluster Model for network data. 661-671

Special Applications

• 
  Claudia Redenbach, Aila Särkkä:
  Parameter estimation for growth interaction processes using spatio-temporal information. 672-683

Statistical Methodology for Data Analysis

• 
  Ardo van den Hout, Graciela Muniz-Terrera, Fiona E. Matthews:
  Change point models for cognitive tests using semi-parametric maximum likelihood. 684-698