Topics in Survey Sampling

  • Parimal Mukhopadhyay

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

Table of contents

  1. Front Matter
    Pages i-xi
  2. Parimal Mukhopadhyay
    Pages 1-26
  3. Parimal Mukhopadhyay
    Pages 27-41
  4. Parimal Mukhopadhyay
    Pages 93-129
  5. Parimal Mukhopadhyay
    Pages 165-201
  6. Parimal Mukhopadhyay
    Pages 231-260
  7. Back Matter
    Pages 261-294

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.


Estimator Median Variance linear regression mathematical statistics statistics

Authors and affiliations

  • Parimal Mukhopadhyay
    • 1
  1. 1.Applied Statistics UnitIndian Statistical InstituteCalcuttaIndia

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag New York 2001
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-387-95108-9
  • Online ISBN 978-1-4612-2088-6
  • Series Print ISSN 0930-0325
  • Buy this book on publisher's site