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From the reviews of the First Edition:
"A well-written book that deserves to be widely used, both by statistics teachers and by researchers."
-Biometrics
"The explanations are clear and concise, the presentation is extremely pleasing, the references are up to date, and there is an abundance of examples."
-Short Book Reviews
"This is a highly recommended acquisition for any statistician concerned with the collection of sample information."
-Technometrics
All aspects of obtaining, interpreting, and using sample data in a new revised volume
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 Second Edition's extensive new material includes descriptions of new developments, a wider range of approaches to common problems, historical notes, and increased coverage of topics such as methods that combine design and model-based approaches, adjusting for nonsampling errors, and the use of link-tracing designs. Updated chapters show how relevant sampling methods function within such fields as the biological, environmental, and geological sciences; social and health sciences; and sampling the Internet.
Organized into six sections, this edition covers basic sampling, from simple random to unequal probability sampling; the use of auxiliary data with ratio estimators 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. Additional derivations, notes on underlying ideas, exercises, and examples foster a greater mastery of the presented techniques. New numerical examples, small-population examples, and exercises have been added.
Featuring a wider range of topics than other sampling books, Sampling, Second Edition is the ideal reference for scientific researchers and other professionals who use sampling, as well as students in sampling courses.
- Sales Rank: #2007643 in Books
- Published on: 2002-04-04
- Ingredients: Example Ingredients
- Original language: English
- Number of items: 1
- Dimensions: 9.27" h x 1.06" w x 6.46" l, 1.50 pounds
- Binding: Hardcover
- 400 pages
Review
"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)
From the Back Cover
From the reviews of the First Edition:
"A well-written book that deserves to be widely used, both by statistics teachers and by researchers."
-Biometrics
"The explanations are clear and concise, the presentation is extremely pleasing, the references are up to date, and there is an abundance of examples."
-Short Book Reviews
"This is a highly recommended acquisition for any statistician concerned with the collection of sample information."
-Technometrics
All aspects of obtaining, interpreting, and using sample data in a new revised volume
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 Second Edition's extensive new material includes descriptions of new developments, a wider range of approaches to common problems, historical notes, and increased coverage of topics such as methods that combine design and model-based approaches, adjusting for nonsampling errors, and the use of link-tracing designs. Updated chapters show how relevant sampling methods function within such fields as the biological, environmental, and geological sciences; social and health sciences; and sampling the Internet.
Organized into six sections, this edition covers basic sampling, from simple random to unequal probability sampling; the use of auxiliary data with ratio estimators 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. Additional derivations, notes on underlying ideas, exercises, and examples foster a greater mastery of the presented techniques. New numerical examples, small-population examples, and exercises have been added.
Featuring a wider range of topics than other sampling books, Sampling, Second Edition is the ideal reference for scientific researchers and other professionals who use sampling, as well as students in sampling courses.
About the Author
STEVEN K. THOMPSON, PhD, is Professor of Statistics at the Pennsylvania State University. During his career he has served on the faculties of the University of Auckland and the University of Alaska. He is the author of Adaptive Sampling (with George Seber), also published by Wiley.
Most helpful customer reviews
27 of 29 people found the following review helpful.
a nice new book on survey sampling designs
By Michael R. Chernick
I am still personally attached to Cochran's classic "Sampling Techniques" which was marvelous for its insight and clarity. it was also helpful to me in my first research work in survey sampling that I coauthored with Tommy Wright. But unfortunately Bill Cochran is no longer with us. Several good survey sampling books both theoretical and applied have come out since then. Thompson's first edition was a big success. Unfortunately I never read his first edition. But I did get the second edition.
It is well written and covers both the model based and design based approaches. There is an adequate treatment of the theory. As an applied statistician I particularly like the fact that he presents the results and formulae for sample size determination problems.
All the key topics are addressed and there is ample reference to current and past literature. The book could be useful for a graduate or undergraduate course in survey sampling. Bootstrap ideas are presented and the book is really very modern in its approach. I was also surprised to see such topics as Line and Point Transects, Capture-Recapture Sampling and Kriging.
There are even some solutions to chapter exercises My only criticism would be that for a course text it would be more useful to have a somewhat larger collection of exercises at the end of each chapter and a correspondingly larger set of selected solutions.
6 of 6 people found the following review helpful.
Great for Applications
By David
If you want to get into doing sampling quickly, this is a good book. It doesn't cover as much theory as I would have liked, but it did get the big picture across pretty well and fairly quickly. Much of the book is formulas and a reasonable amount of background in probability/statistics is a must.
This book is sufficient for self-study.
0 of 0 people found the following review helpful.
Required text.
By Rebecca Stewart
Great book to learn about Sampling Methods. Was a required textbook for me and I still use it to this day.
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