{
"item_title" : "Maximum Likelihood Estimation for Sample Surveys",
"item_author" : [" Raymond L. Chambers", "David G. Steel", "Suojin Wang "],
"item_description" : "In recent years, likelihood methods are increasingly being used to analyze survey data in various disciplines, including the medical, biological, environmental, and social sciences. This book presents an overview of likelihood methods for the analysis of survey data obtained using methods that may result in the sample differing from the population, providing all necessary background material on likelihood inference. The book provides coverage of a range of data types, including multilevel data. Illustrated by numerous worked examples using tractable models, it also addresses advanced topics such as combining data, non-response, and informative sampling.",
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Maximum Likelihood Estimation for Sample Surveys
Overview
In recent years, likelihood methods are increasingly being used to analyze survey data in various disciplines, including the medical, biological, environmental, and social sciences. This book presents an overview of likelihood methods for the analysis of survey data obtained using methods that may result in the sample differing from the population, providing all necessary background material on likelihood inference. The book provides coverage of a range of data types, including multilevel data. Illustrated by numerous worked examples using tractable models, it also addresses advanced topics such as combining data, non-response, and informative sampling.
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Details
- ISBN-13: 9781584886327
- ISBN-10: 1584886323
- Publisher: CRC Press
- Publish Date: May 2012
- Dimensions: 9.1 x 6.1 x 1 inches
- Shipping Weight: 1.5 pounds
- Page Count: 391
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