ADVANCES IN MULTIVARIATE STATISTICAL METHODS

Inbunden, Engelska, 2009

Del 4 i serien STATISTICAL SCIENCE AND INTERDISCIPLINARY RESEARCH

2 421 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2009-06-30
Mått:161 x 234 x 30 mm
Vikt:820 g
Format:Inbunden
Språk:Engelska
Serie:STATISTICAL SCIENCE AND INTERDISCIPLINARY RESEARCH
Antal sidor:492
Förlag:World Scientific Publishing Co Pte Ltd
ISBN:9789812838230

Utforska kategorier

Matematisk statistik inom Naturvetenskap och teknik

Innehållsförteckning

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.