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Topics in Survey Sampling

  • Book
  • © 2001

Overview

Part of the book series: Lecture Notes in Statistics (LNS, volume 153)

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Table of contents (8 chapters)

Keywords

About this book

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.

Authors and Affiliations

  • Applied Statistics Unit, Indian Statistical Institute, Calcutta, India

    Parimal Mukhopadhyay

Bibliographic Information

  • Book Title: Topics in Survey Sampling

  • Authors: Parimal Mukhopadhyay

  • Series Title: Lecture Notes in Statistics

  • DOI: https://doi.org/10.1007/978-1-4612-2088-6

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag New York, Inc. 2001

  • Softcover ISBN: 978-0-387-95108-9Published: 14 September 2000

  • eBook ISBN: 978-1-4612-2088-6Published: 06 December 2012

  • Series ISSN: 0930-0325

  • Series E-ISSN: 2197-7186

  • Edition Number: 1

  • Number of Pages: XI, 292

  • Topics: Statistical Theory and Methods

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