Sample surveys provide data used by researchers in a large range of disciplines to analyze important relationships using well-established and widely used likelihood methods. The methods used to select samples often result in the sample differing in important ways from the target population and standard application of likelihood methods can lead to

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Yes, you can access Maximum Likelihood Estimation for Sample Surveys by Raymond L. Chambers,David G. Steel,Suojin Wang,Alan Welsh in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Chapman and Hall/CRC

Year

2012

ISBN

9781420011357

Edition

Topic

Mathematics

Subtopic

Probability & Statistics

Index

Mathematics

Front Cover
Dedication
Contents
Preface
1. Introduction
2. Maximum likelihood theory for sample surveys
3. Alternative likelihood-based methods for sample survey data
4. Populations with independent units
5. Regression models
6. Clustered populations
7. Informative nonresponse
8. Maximum likelihood in other complicated situations
Notation