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An Introduction to Model-Based Survey Sampling with Applications
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An Introduction to Model-Based Survey Sampling with Applications

Ray Chambers and Robert Clark

Abstract

This book is an introduction to the model-based approach to survey sampling. It consists of three parts, with Part I focusing on estimation of population totals. Chapters 1 and 2 introduce survey sampling, and the model-based approach, respectively. Chapter 3 considers the simplest possible model, the homogenous population model, which is then extended to stratified populations in Chapter 4. Chapter 5 discusses simple linear regression models for populations, and Chapter 6 considers clustered populations. The general linear population model is then used to integrate these results in Chapter 7. ... More

Keywords: model-based survey inference, sample survey design, survey estimation, variance estimation, linear models, sample weights, outlier robust estimation, small area estimation, distribution function estimation, transformation-based inference

Bibliographic Information

Print publication date: 2012 Print ISBN-13: 9780198566625
Published to Oxford Scholarship Online: May 2012 DOI:10.1093/acprof:oso/9780198566625.001.0001

Authors

Affiliations are at time of print publication.

Ray Chambers, author
School of Mathematics and Applied Statistics, University of Wollongong, Australia

Robert Clark, author
School of Mathematics and Applied Statistics, University of Wollongong, Australia

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