Statistical Inference Under Order Restrictions

Inequality, Order, and Shape Restrictions

Mervyn J. Silvapulle, Pranab K. Sen - Collection Wiley Series in Probability and Statistics

532 pages, parution le 03/12/2004

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Résumé

This volumes focuses on the theory of statistical inference under inequality constraints, providing a unified and up-to-date treatment of the methodology. The scope of applications of the presented methodology and theory in different fields is clearly illustrated by using examples from several areas, especially sociology, econometrics, and biostatistics. The authors also discuss a broad range of other inequality constrained inference problems, which do not fit well in the contemplated unified framework, providing meaningful access to comprehend methodological resolutions.

L'auteur - Pranab K. Sen

Pranab K. Sen, PhD, is a Professor in the Departments of Biostatistics and Statistics and Operations Research at the University of North Carolina at Chapel Hill. He received his PhD in 1962 from Calcutta University, India.

Sommaire

Introduction
Comparison of Population Means and Isotonic Regression
Tests on Multivariate Normal Mean
Tests in General Parametric Models
Likelhood and Alternatives
Analysis of categorical Data
Beyond Parametrics
Bayesian Perspectives
Miscellaneous Topics

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	PAPIER
Éditeur(s)	Wiley
Auteur(s)	Mervyn J. Silvapulle, Pranab K. Sen
Collection	Wiley Series in Probability and Statistics
Parution	03/12/2004
Nb. de pages	532
Format	16 x 24
Couverture	Relié
Poids	900g
Intérieur	Noir et Blanc
EAN13	9780471208273
ISBN13	978-0-471-20827-3