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Sampling. Design and analysis. Reprint of the 2nd edition published 2010 by Cengage Learning. (English) Zbl 1426.62004

Chapman & Hall/CRC Texts in Statistical Science. Boca Raton, FL: CRC Press (ISBN 978-0-367-27346-0/hbk; 978-0-367-27341-5/pbk; 978-0-429-29628-4/ebook). xi, 596 p. (2019).
This 600-pages monograph contains almost everything, what one should know about statistical sampling. Both main topics: design, and analysis, are outlined in good details.
The reference list covers 24 pages, it contains only items published in 2009 and earlier; therefore, to get knowledge about the results of the most recent decade, one should consult other sources. The appendix introduces to probability concepts used in sampling; it restricts the presentation to discrete random variables. For more details about this book see the publisher’s description cited below.
For the first edition of this book see [Zbl 0967.62005], and for the second one [Zbl 1273.62010].
Publisher’s description: This edition is a reprint of the second edition published by Cengage Learning, Inc. reprinted with permission. What is the unemployment rate? How many adults have high blood pressure? What is the total area of land planted with soybeans? ‘Sampling: Design and analysis’ tells you how to design and analyze surveys to answer these and other questions. This authoritative text, used as a standard reference by numerous survey organizations, teaches sampling using real data sets from social sciences, public opinion research, medicine, public health, economics, agriculture, ecology, and other fields. The book is accessible to students from a wide range of statistical backgrounds. By appropriate choice of sections, it can be used for a graduate class for statistics students or for a class with students from business, sociology, psychology, or biology. Readers should be familiar with concepts from an introductory statistics class including linear regression; optional sections contain the statistical theory, for readers who have studied mathematical statistics. Distinctive features include:
More than 450 exercises. In each chapter, introductory exercises develop skills, working with data exercises give practice with data from surveys, working with theory exercises allow students to investigate statistical properties of estimators, and projects and activities exercises integrate concepts. A solutions manual is available.
An emphasis on survey design.
Coverage of simple random, stratified, and cluster sampling; ratio estimation; constructing survey weights; jackknife and bootstrap; nonresponse; chi-squared tests and regression analysis.
Graphing data from surveys.
Computer code using SAS software.
Online supplements containing data sets, computer programs, and additional material.

MSC:

62-01 Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics
62K05 Optimal statistical designs
62D05 Sampling theory, sample surveys
60-01 Introductory exposition (textbooks, tutorial papers, etc.) pertaining to probability theory
60A05 Axioms; other general questions in probability

Software:

SAS; SAS/STAT
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