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Sampling 3E
Hardcover
ISBN13: 9780470402313
Publisher: John Wiley & Sons
Published: Feb 22 2012
Pages: 472
Weight: 1.75
Height: 1.10 Width: 6.30 Depth: 9.30
Language: English
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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