Book Cover
E-book

Title Advances in multivariate statistical methods / editor, Ashis SenGupta
Published New Jersey : World Scientific, ©2009

Copies

Description 1 online resource (xiv, 477 pages) : illustrations
Series Statistical science and interdisciplinary research ; v. 4
Statistical science and interdisciplinary research ; v. 4.
Contents Foreword; Preface; Contents; 1. High-Dimensional Discrete Statistical Models: UIP, MCP and CSI in Perspectives P.K. Sen; 2. A Review of Multivariate Theory for High Dimensional Data with Fewer Observations M.S. Srivastava; 3. Model Based Penalized Clustering for Multivariate Data S. Ghosh and D.K. Dey; 4. Jacobians Under Constraints and Statistical Bioinformatics K.V. Mardia; 5. Cluster Validation for Microarray Data: An Appraisal V. Pihur, G.N. Brock and S. Datta; 6. Flexible Bivariate Circular Models B.C. Arnold and A. SenGupta
Summary This volume contains a collection of research articles on multivariate statistical methods, encompassing both theoretical advances and emerging applications in a variety of scientific disciplines. It serves as a tribute to Professor S N Roy, an eminent statistician who has made seminal contributions to the area of multivariate statistical methods, on his birth centenary. In the area of emerging applications, the topics include bioinformatics, categorical data and clinical trials, econometrics, longitudinal data analysis, microarray data analysis, sample surveys, statistical process control, et
Bibliography Includes bibliographical references
Notes English
Print version record
Subject Multivariate analysis.
Statistics.
statistics.
MATHEMATICS -- Probability & Statistics -- Multivariate Analysis.
Multivariate analysis
Statistics
Form Electronic book
Author Sengupta, Ashis.
Indian Statistical Institute
LC no. 2009279751
ISBN 9789812838247
9812838244
1282443216
9781282443211
9786612443213
6612443219