Overview

This monograph reviews the problems and procedures of small area estimation. The first chapter introduces the basic concepts. The second chapter reviews some inferential problems of survey sampling under fixed population model and super population set up using prediction-theoretic approach. Chapter three deals with direct, synthetic and composite estimation procedures. Bayes and empirical Bayes (EB) estimation of small area parameters under random effects models are considered in the next chapter. Different ramifications of Bayes procedures (eg. estimation) in finite population sampling have also been considered. The following chapter addresses best and empirical best linear unbiased prediction of small area parameters. Other topics include:Bayes, EB and hierarchical Bayes estimation under mixed-effects linear models and applications of these results to small area problems; special techniques for estimation of population size for small areas; and application of Kalman-filter techniques in producing small area exposition and illustration from live data.

Full Product Details

Author:   Parimal Mukhopadhyay
Publisher:   Narosa Publishing House
Imprint:   Narosa Publishing House
Dimensions:   Width: 14.00cm , Height: 24.00cm , Length: 21.50cm
Weight:   0.419kg
ISBN:  

9788173192203

ISBN 10:   8173192200
Pages:   241
Publication Date:   02 January 2001
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Awaiting stock  
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Table of Contents

Preface / Basic Concepts / Inferential Problems in Estimating a Finite Population Total / Direct, Synthetic and Composite Estimators/ Bayes and Empirical Bayes Estimation under Random Effects Models / Ramifications of Bayes Estimation Procedure / Best Linear Unbiased Prediction under Mixed Effects Models / Bayes, Empirical Bayes and Hierarchical Bayes Estimation under Mixed Effects Linear Models / Small Area Estimation of Population Counts / Small Area Estimation using Time Series Methods / References / Author Index / Subject Index.

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