"This book has never had a competitor. It is the only book thattakes a broad approach to sampling . . . any good personalstatistics library should include a copy of this book."
"Well-written . . . an excellent book on an important subject.Highly recommended."
"An ideal reference for scientific researchers and otherprofessionals who use sampling."
Features new developments in the field combined with allaspects of obtaining, interpreting, and using sample data
Sampling provides an up-to-date treatment of bothclassical and modern sampling design and estimation methods, alongwith sampling methods for rare, clustered, and hard-to-detectpopulations. This Third Edition retains the general organization ofthe two previous editions, but incorporates extensive newmaterial—sections, exercises, and examples—throughout.Inside, readers will find all-new approaches to explain the varioustechniques in the book; new figures to assist in better visualizingand comprehending underlying concepts such as the differentsampling 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 ofauxiliary data with ratio and regression estimation; sufficientdata, model, and design in practical sampling; useful designs suchas stratified, cluster and systematic, multistage, double andnetwork sampling; detectability methods for elusive populations;spatial sampling; and adaptive sampling designs.
Featuring a broad range of topics, Sampling, ThirdEdition serves as a valuable reference on useful sampling andestimation methods for researchers in various fields of study,including biostatistics, ecology, and the health sciences. The bookis also ideal for courses on statistical sampling at theupper-undergraduate and graduate levels.
448 pages; ISBN 9781118162941
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Author: Steven K. Thompson
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