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Prediction Theory for Finite Populations

  • Heleno Bolfarine
  • Shelemyahu Zacks

Part of the Springer Series in Statistics book series (SSS)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Heleno Bolfarine, Shelemyahu Zacks
    Pages 1-4
  3. Heleno Bolfarine, Shelemyahu Zacks
    Pages 5-22
  4. Heleno Bolfarine, Shelemyahu Zacks
    Pages 23-65
  5. Heleno Bolfarine, Shelemyahu Zacks
    Pages 66-98
  6. Heleno Bolfarine, Shelemyahu Zacks
    Pages 99-118
  7. Heleno Bolfarine, Shelemyahu Zacks
    Pages 119-127
  8. Heleno Bolfarine, Shelemyahu Zacks
    Pages 150-168
  9. Heleno Bolfarine, Shelemyahu Zacks
    Pages 169-181
  10. Heleno Bolfarine, Shelemyahu Zacks
    Pages 182-192
  11. Back Matter
    Pages 193-209

About this book

Introduction

A large number of papers have appeared in the last twenty years on estimating and predicting characteristics of finite populations. This monograph is designed to present this modern theory in a systematic and consistent manner. The authors' approach is that of superpopulation models in which values of the population elements are considered as random variables having joint distributions. Throughout, the emphasis is on the analysis of data rather than on the design of samples. Topics covered include: optimal predictors for various superpopulation models, Bayes, minimax, and maximum likelihood predictors, classical and Bayesian prediction intervals, model robustness, and models with measurement errors. Each chapter contains numerous examples, and exercises which extend and illustrate the themes in the text. As a result, this book will be ideal for all those research workers seeking an up-to-date and well-referenced introduction to the subject.

Keywords

Finite Likelihood Random variable boundary element method character design distribution maximum minimum model modeling themes variable

Authors and affiliations

  • Heleno Bolfarine
    • 1
  • Shelemyahu Zacks
    • 2
  1. 1.Department of Statistics, Institute of Mathematics and StatisticsUniversity of Sao PauloSao PauloBrazil
  2. 2.Department of Mathematical SciencesState University of New York at BinghamtonBinghamtonUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4612-2904-9
  • Copyright Information Springer-Verlag New York 1992
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-7713-2
  • Online ISBN 978-1-4612-2904-9
  • Series Print ISSN 0172-7397
  • Buy this book on publisher's site
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