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."
"Well-written . . . an excellent book on an important subject. Highly recommended."
"An ideal reference for scientific researchers and other professionals who use sampling."
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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Simple Random Sampling
Unequal Probability Sampling
Auxiliary Data and Ratio Estimation
The Sufficient Statistic in Sampling
METHODS FOR ELUSIVE AND HARDTODETECT
Detectability and Sampling
Line and Point Transects
Spatial Prediction or Kriging
Adaptive Sampling Designs
Design and Model
Cluster and Systematic Sampling
Double or TwoPhase Sampling
Systematic and Strip Adaptive Cluster Sampling
Stratified Adaptive Cluster Sampling
Answers to Selected Exercises