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Sampling Theory and Methods
Sampling Theory and Methods presents the theoretical aspects of "Sample Surveys" in a lucid form for the benefit of both undergraduate and post graduate students of Statistics. It assumes very little background in probability theory.
The author presents in detail several sampling schemes, including simple random sampling, unequal probability sampling, and systematic, stratified, cluster, and multistage sampling. In addition to sampling schemes, he also discusses several estimating methods, such as ratio and regression estimators, and covers in detail the use of superpopulation models.Many solved theoretical problems are incorporated into almost all the chapters. This feature helps readers acquire necessary skills to solve theoretical problems on their own.
The author presents in detail several sampling schemes, including simple random sampling, unequal probability sampling, and systematic, stratified, cluster, and multistage sampling. In addition to sampling schemes, he also discusses several estimating methods, such as ratio and regression estimators, and covers in detail the use of superpopulation models.Many solved theoretical problems are incorporated into almost all the chapters. This feature helps readers acquire necessary skills to solve theoretical problems on their own.
184 pages, Hardcover
First published January 1, 2000
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