Advances In Multivariate Statistical Methods
Published on 30. June 2009
Book
Hardback
492 pages
978-981-283-823-0 (ISBN)
Description
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, etc.Researchers, professionals and advanced graduates will find the book an essential resource for modern developments in theory as well as for innovative and emerging important applications in the area of multivariate statistical methods.
More details
Series
Language
English
Place of publication
Singapore
Singapore
Target group
College/higher education
Professional and scholarly
Researchers, professionals and advanced students working on multivariate statistical methods for both theory and applications.
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 31 mm
Weight
857 gr
ISBN-13
978-981-283-823-0 (9789812838230)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Person
Content
High-Dimensional Discrete Statistical Models; Multivariate Theory for High-Dimensional Data with Fewer Observations; Model-based Penalized Clustering for Multivariate Data; Jacobians under Constraints and Statistical Bioinformatics; Cluster Validation for Microarray Data; Flexible Bivariate Circular Models; Optimal Text Space Representation Through Circular Data Analysis; Linear Regression for Random Measures; Mixed Multivariate Models for Random Sums and Maxima; Estimation of the Box-Cox Transformation Parameters; Generation of Multivariate Densities; Smooth Estimation of Multivariate Distribution and Density and Functions; Estimation Using Quantile Function Structure; Optimal Estimating Functions in the Presence of Nuisance Parameters; Inference in Exponential Family Regression Models Under Shape Constraints; Optimal Adaptive Rule in Testing Problem; Robust Tests for Inverse Gaussian Scale Parameters; Clusterwise Regression Using Dirichlet Mixtures; Bayesian Analysis of Rank Data; Bayesian Tests of Equality of Stratified Proportions for a Multiple-Response Categorical Variable; Respondent-Generated Intervals in Sample Surveys; Quality Index and Mahalanobis D2 Statistic; AQL-based Multiattribute Sampling Scheme; Multivariate Quality Management; Large Time Series of Categorical Data; Estimation of Integrated Covolatility for Asynchronous Assets; Improving the Hansen-Hurwitz Estimator in PPSWR Sampling.