Sampling of Populations: Methods and Applications [NOOK Book]

Overview

A trusted classic on the key methods in population sampling—now in a modernized and expanded new edition

Sampling of Populations, Fourth Edition continues to serve as an all-inclusive resource on the basic and most current practices in population sampling. Maintaining the clear and accessible style of the previous edition, this book outlines the essential statistical methodsfor survey design and analysis, while also exploring techniques that ...

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Sampling of Populations: Methods and Applications

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Overview

A trusted classic on the key methods in population sampling—now in a modernized and expanded new edition

Sampling of Populations, Fourth Edition continues to serve as an all-inclusive resource on the basic and most current practices in population sampling. Maintaining the clear and accessible style of the previous edition, this book outlines the essential statistical methodsfor survey design and analysis, while also exploring techniques that have developed over the past decade.

The Fourth Edition successfully guides the reader through the basic concepts and procedures that accompany real-world sample surveys, such as sampling designs, problems of missing data, statistical analysis of multistage sampling data, and nonresponse and poststratification adjustment procedures. Rather than employ a heavily mathematical approach, the authors present illustrative examples that demonstrate the rationale behind common steps in the sampling process, from creating effective surveys to analyzing collected data. Along with established methods, modern topics are treated through the book's new features, which include:

  • A new chapter on telephone sampling, with coverage of declining response rates, the creation of "do not call" lists, and the growing use of cellular phones
  • A new chapter on sample weighting that focuses on adjustments to weight for nonresponse, frame deficiencies, and the effects of estimator instability
  • An updated discussion of sample survey data analysis that includes analytic procedures for estimation and hypothesis testing
  • A new section on Chromy's widely used method of taking probability proportional to size samples with minimum replacement of primary sampling units
  • An expanded index with references on the latest research in the field

All of the book's examples and exercises can be easily worked out using various software packages including SAS, STATA, and SUDAAN, and an extensive FTP site contains additional data sets. With its comprehensive presentation and wealth of relevant examples, Sampling of Populations, Fourth Edition is an ideal book for courses on survey sampling at the upper-undergraduate and graduate levels. It is also a valuable reference for practicing statisticians who would like to refresh their knowledge of sampling techniques.

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Editorial Reviews

Booknews
With a minimum of mathematical formality and technical jargon, provides a practical explanation of the basic concepts and procedures of sample design for professionals in statistics and surveys. Discusses such topics as systematic sampling and probability proportionate to size sampling, illustrating the logic involved through examples instead of mathematical proofs. Thoroughly expanded and revised from the 1980 Sampling for health professionals. Annotation c. Book News, Inc., Portland, OR (booknews.com)
Doody's Review Service
Reviewer: Leon F Burmeister, PhD (University of Iowa College of Public Health)
Description: This book is designed for a one-semester course, primarily for students in public health and applied statistics. The third edition was published in 1999.
Purpose: The book clearly addresses a basic need in academic and applied research.
Audience: In addition to the students who would benefit from this book, professionals working in areas that require samples of human populations would also find the concepts and examples helpful.
Features: The book develops the basic sampling designs used in estimation of population characteristics. It is effective because of the many examples and exercises, the organization that collects and summarizes important formulas in several boxes in nearly all of the chapters, and the illustration of computer packages (SAS and STATA) throughout. Adding chapters on telephone surveys and sample weight construction would make the book much more useful. The suggested answers to odd-numbered exercises are expanded and will be very helpful to students and practitioners.
Assessment: Although the fourth edition improves several aspects, there are concerns. Few chapters have new exercises. More importantly, few new references have been added. For some very specialized techniques, such as network sampling, lack of references describing recent applications is a limitation in both the classroom and the field. In spite of these limitations, the book compares favorably to similar textbooks because of its inclusion of an adequate number of realistic exercises and its many illustrations of computer applications. Although the small number of new exercises and references is disappointing, the fourth edition does increase the utility of the book.
From the Publisher
“The book remains a very appropriately written text for classroom use, especially for students studying public health or epidemiology, or for undergraduate majors in statistics and related fields.” (Biometrics, June 2009)
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Product Details

  • ISBN-13: 9781118627310
  • Publisher: Wiley
  • Publication date: 6/7/2013
  • Series: Wiley Series in Survey Methodology
  • Sold by: Barnes & Noble
  • Format: eBook
  • Edition number: 4
  • Pages: 616
  • File size: 23 MB
  • Note: This product may take a few minutes to download.

Meet the Author

Paul S. Levy is Senior Research Fellow at RTI International and Professor Emeritus of Epidemiology and Biostatistics in the School of Public Health at the University of Illinois. A Fellow of both the American Statistical Association and the American College of Epidemiology, Dr. Levy has authored or coauthored over 225 articles in his areas of research interest, which include sample survey methodology, design of epidemiological studies, and methodology relevant to analysis of data from observational studies.

Stanley Lemeshow, PhD, is Professor of Biostatistics and Dean of the College of Public Health at The Ohio State University. He has over thirty-five years of academic experience in the areas of regression, categorical data methods, and sampling methods. A Fellow of the American Statistical Association, Dr. Lemeshow is the coauthor of Applied Survival Analysis, Second Edition and Applied Logistic Regression, Second Edition, both published by Wiley.

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Table of Contents

Tables.

Boxes.

Figures.

Getting Files from the Wiley ftp and Internet Sites.

List of Data Sites Provides on Web Site.

Preface to the Fourth Edition.

Part 1: Basic Concepts.

 1. Use of Sample Surveys.

2. The Population and the Sample.

Part 2: Major Sampling Designs and Estimation Procedures.

3. Simple Random Sampling.

4. Systematic Sampling.

5. Stratification and Stratified Random Sampling.

6. Stratified Random Sampling: Further Issues.

7. Ratio Estimation.

8. Cluster Sampling: Introduction and Overview.

9. Simple One-Stage Cluster Sampling.

10. Two-Stage Cluster Sampling: Clusters Sampled with Equal Probability.

11. Cluster Sampling in Which Clusters Are Sampled with Unequal Probability: Probability Proportional to Size Sampling.

12. Variance Estimation in Complex Sample Surveys.

Part 3: Selected Topics in Sample Survey Methodology.

13. Nonresponse and Missing Data in Sample Surveys.

14. Selected Topics in Sample Design and Estimation Methodology.

15. Telephone Survey Sampling (Michael W. Link and Mansour Fahimi).

16. Constructing the Survey Weights (Paul P. Biemer and Sharon L. Christ).

17. Strategies for Design-Based Analysis of Sample Survey Data.

Appendix.

Answers to Selected Exercises.

Index.

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