Overview

Praise for the Second Edition

 

"This book has never had a competitor. It is the only book that takes a broad approach to sampling . . . any good personal statistics library should include a copy of this book." —Technometrics

"Well-written . . . an excellent book on an important subject. Highly recommended." —Choice

"An ideal reference for scientific researchers and other professionals who use sampling." —Zentralblatt Math

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Sampling

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Overview

Praise for the Second Edition

 

"This book has never had a competitor. It is the only book that takes a broad approach to sampling . . . any good personal statistics library should include a copy of this book." —Technometrics

"Well-written . . . an excellent book on an important subject. Highly recommended." —Choice

"An ideal reference for scientific researchers and other professionals who use sampling." —Zentralblatt Math

Features new developments in the field combined with all aspects of obtaining, interpreting, and using sample data

Sampling provides an up-to-date treatment of both classical and modern sampling design and estimation methods, along with sampling methods for rare, clustered, and hard-to-detect populations. This Third Edition retains the general organization of the two previous editions, but incorporates extensive new material—sections, exercises, and examples—throughout. Inside, readers will find all-new approaches to explain the various techniques in the book; new figures to assist in better visualizing and comprehending underlying concepts such as the different sampling strategies; computing notes for sample selection, calculation of estimates, and simulations; and more.

Organized into six sections, the book covers basic sampling, from simple random to unequal probability sampling; the use of auxiliary data with ratio and regression estimation; sufficient data, model, and design in practical sampling; useful designs such as stratified, cluster and systematic, multistage, double and network sampling; detectability methods for elusive populations; spatial sampling; and adaptive sampling designs.

Featuring a broad range of topics, Sampling, Third Edition serves as a valuable reference on useful sampling and estimation methods for researchers in various fields of study, including biostatistics, ecology, and the health sciences. The book is also ideal for courses on statistical sampling at the upper-undergraduate and graduate levels.

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Editorial Reviews

From The Critics
This text treats both classical and modern sampling design and estimation methods, along with sampling methods for rare, clustered, and hard-to-detect populations. This second edition includes descriptions of new developments in the field, a wider range of approaches to common problems, historical notes, and increased coverage of adjusting for nonsampling errors, the use of link-tracing designs, and of methods combining design and model-based approaches. Material is updated to show how sampling methods function in such fields as the biological, environmental, social, and health sciences, and with new material on sampling the Internet. Thompson teaches statistics at the Pennsylvania State University. Annotation c. Book News, Inc., Portland, OR (booknews.com)
Booknews
A textbook for a graduate or upper-level undergraduate course in sampling. Describes advanced methods by which researchers can pursue difficult sampling problems, such as counting an elusive human or animal population, predicting the amount of fossil-fuel resource at a new site, or estimating the prevalence of a rare disease. Annotation c. Book News, Inc., Portland, OR (booknews.com)
From the Publisher
"This is an informative and clearly written book that will serve as a useful reference for researchers and as an introduction for students…" (Statistics in Medical Research, October 2005)

"...treats both classical and modern sampling design and estimation methods, along with sampling methods for rare, clustered, and hard-to-detect populations." (SciTech Book News, Vol. 26, No. 2, June 2002)

"...a well-written and expanded new edition...an excellent book on an important subject. Highly recommended..." (Choice, Vol. 40, No. 2, October 2002)

"This book has never had a competitor. It is the only book that takes a broad approach to sampling...any good personal statistics library should include a copy of this book." (Technometrics, Vol. 44, No. 4, November 2002)

"...an ideal reference for scientific researchers and other professionals who use sampling..."(Zentralblatt Math, Vol.1002, No.02, 2003)

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Product Details

  • ISBN-13: 9781118162941
  • Publisher: Wiley
  • Publication date: 2/8/2012
  • Series: CourseSmart , #755
  • Sold by: Barnes & Noble
  • Format: eBook
  • Edition number: 3
  • Pages: 472
  • File size: 16 MB
  • Note: This product may take a few minutes to download.

Meet the Author

Steven K. Thompson, PhD, is Shrum Chair in Science and Professor of Statistics at the Simon Fraser University. During his career, he has served on the faculties of the Pennsylvania State University, the University of Auckland, and the University of Alaska. He is also the coauthor of Adaptive Sampling (Wiley).

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Table of Contents

Preface to the Second Edition
Preface to the First Edition
1 Introduction 1
Pt. I Basic Sampling 9
2 Simple Random Sampling 11
3 Confidence Intervals 29
4 Sample Size 35
5 Estimating Proportions, Ratios, and Subpopulation Means 39
6 Unequal Probability Sampling 51
Pt. II Making the Best Use of Survey Data 65
7 Auxiliary Data and Ratio Estimation 67
8 Regression Estimation 89
9 The Sufficient Statistic in Sampling 101
10 Design and Model 107
Pt. III Some Useful Designs 115
11 Stratified Sampling 117
12 Cluster and Systematic Sampling 129
13 Multistage Designs 143
14 Double or Two-Phase Sampling 157
Pt. IV Methods for Elusive and Hard-to-Detect Populations 171
15 Network Sampling and Link-Tracing Designs 173
16 Detectability and Sampling 185
17 Line and Point Transects 199
18 Capture-Recapture Sampling 233
19 Line-Intercept Sampling 245
Pt. V Spatial Sampling 255
20 Spatial Prediction or Kriging 257
21 Spatial Designs 271
22 Plot Shapes and Observational Methods 275
Pt. VI Adaptive Sampling 283
23 Adaptive Sampling Designs 285
24 Adaptive Cluster Sampling 289
25 Systematic and Strip Adaptive Cluster Sampling 309
26 Stratified Adaptive Cluster Sampling 323
Answers to Selected Exercises 339
References 343
Author Index 361
Subject Index 365
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