STATISTICAL INFERENCE: TESTING OF HYPOTHESES

Manoj Kumar Srivastava; Namita Srivastava

ISBN 10: 812033728X / ISBN 13: 9788120337282

Published by PHI, 2009

Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide. Seller Inventory # ABBB-20783

Synopsis:

it emphasizes on J. Neyman and Egon Pearson s mathematical foundations of hypothesis testing, which is one of the finest methodologies of reaching conclusions on population parameter. Following Wald and Ferguson s approach, the book presents Neyman-Pearson theory under broader premises of decision theory resulting into simplification and generalization of results. On account of smooth mathematical development of this theory, the book outlines the main result on Lebesgue theory in abstract spaces prior to rigorous theoretical developments on most powerful (MP), uniformly most powerful (UMP) and UMP unbiased tests for different types of testing problems. Likelihood ratio tests their large sample properties to variety of testing situations and connection between confidence estimation and testing of hypothesis have been discussed in separate chapters. The book illustrates simplification of testing problems and reduction in dimensionality of class of tests resulting into existence of an optimal test through the principle of sufficiency and invariance. It concludes with rigorous theoretical developments on non-parametric tests including their optimality, asymptotic relative efficiency, consistency, and asymptotic null distribution.

About the Author: MANOJ KUMAR SRIVASTAVA, Ph.D. (Statistics) is Reader, Department of Statistics, Institute of Social Sciences, Dr. B.R. Ambedkar University, Agra with a teaching experience of more than two decades. Dr. Srivastava has a number of publications in reputed Indian and International journals and presented papers in several research conferences. He is a member of Indian Society of Agricultural Statistics, New Delhi; Assam Statistical Review, Dibrugarh University, Dibrugarh, Assam; Calcutta Statistical Association, Calcutta; Indian Bayesian Society, Indian Chapter of International Society for Bayesian Analysis (ISBA); and Advances and Application in Statistics, Allahabad University, India. NAMITA SRIVASTAVA, Ph.D. (Statistics) is Reader, Department of Statistics, St. John's College, Agra. She has participated in many workshops on Bayesian Statistics and Bayesian computing and has a teaching experience of nearly two decades. Dr. Namita Srivastava has also presented many research papers in conferences. Besides, she is a member of a number of statistical societies and professional organizations. Indian Society of Agricultural Statistics, New Delhi; Assam Statistical Review, Dibrugarh University, Dibrugarh, Assam; Calcutta Statistical Association, Calcutta; Indian Bayesian Society; and Indian Chapter of International Society for Bayesian Analysis (ISBA).

Bibliographic Details

Title: STATISTICAL INFERENCE: TESTING OF HYPOTHESES
Publisher: PHI
Publication Date: 2009
Binding: Soft cover
Condition: New
Edition: International Edition