Topics in Survey Sampling by PARIMAL MUKHOPADHYAYTopics in Survey Sampling by PARIMAL MUKHOPADHYAY

Topics in Survey Sampling

byPARIMAL MUKHOPADHYAY

Paperback | September 14, 2000

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The aim of this book is to make a comprehensive review on some of the research topics in the area of survey sampling which has not been covered in any book yet. The proposed book aims at making a comprehensive review of applications of Bayes procedures, Empirical Bayes procedures and their ramifications (like linear Bayes estimation, restricted Bayes least square prediction, constrained Bayes estimation, Bayesian robustness) in making inference from a finite population sampling. Parimal Mukhopadhyay is Professor at the Indian Statistical Institute (ISI), Calcutta. He received his Ph.D. degree in Statistics from the University of Calcutta in 1977. He also served as a faculty member in the University of Ife, Nigeria, Moi University, Kenya, University of South Pacific, Fiji Islands and held visiting positions at University of Montreal, University of Windsor, Stockholm University, University of Western Australia, etc. He has to his credit more than fifty research papers in Survey Sampling, some co-authored, three text books on Statistics and three research monographs in Survey Sampling. He is a member of the Institute of Mathematical Statistics and an elected member of the International Statistical Institute.
Title:Topics in Survey SamplingFormat:PaperbackDimensions:303 pages, 9.25 × 6.1 × 0.68 inPublished:September 14, 2000Publisher:Springer New YorkLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0387951083

ISBN - 13:9780387951089

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Table of Contents

The Basic Concepts.- Inference Under Frequentist Theory Approach.- Bayes and Empirical Bayes Prediction of a Finite Population Total.- Modification of Bayes Procedure.- Estimation of Finite Population Variance, Regression Co-efficient.- Estimation of A Finite Population Distribution Function.- Prediction in Finite Population Under Measurement Error Models.- Miscellaneous Topics.