Praise for the Second Edition "e;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."e; Technometrics "e;Well-written . . . an excellent book on an important subject. Highly recommended."e; Choice "e;An ideal reference for scientific researchers and other professionals who use sampling."e; 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.

Praise for the Second Edition"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."Technometrics"Well-written . . . an excellent book on an important subject.Highly recommended."Choice"An ideal reference for scientific researchers and otherprofessionals who use sampling."Zentralblatt MathFeatures new developments in the field combined with allaspects of obtaining, interpreting, and using sample dataSampling 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 selectioncalculation of estimates, and simulations; and more.Organized into six sections, the book covers basic samplingfrom 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 studyincluding biostatistics, ecology, and the health sciences. The bookis also ideal for courses on statistical sampling at theupper-undergraduate and graduate levels.

Preface to the Third EditionPreface to the Second Edition xiiiPreface to the First Edition xv1. Introduction 1Part I. Basic Sampling 92. Simple Random Sampling 113. Confidence Intervals 294. Sample Size 355. Estimating Proportions, Ratios, and Subpopulation Means 396. Unequal Probability Sampling 51Part II. Making the Best Use of Survey Data 657. Auxiliary Data and Ratio Estimation 678. Regression Estimation 899. The Sufficient Statistic in Sampling 10110. Design and Model 107Part III. Some Useful Designs 11511. Stratified Sampling 11712. Cluster and Systematic Sampling 12913. Multistage Designs 14314. Double or Two-Phase Sampling 157Part IV. Methods for Elusive and Hard-to-Detect Populations 17115. Network Sampling and Link-Tracing Designs 17316. Detectability and Sampling 18517. Line and Point Transects 19918. Capture-Recapture Sampling 23319. Line-Intercept Sampling 245Part V. Spatial Sampling 25520. Spatial Prediction or Kriging 25721. Spatial Designs 27122. Plot Shapes and Observational Methods 275Part VI. Adaptive Sampling 28323. Adaptive Sampling Designs 28524. Adaptive Cluster Sampling 28925. Systematic and Strip Adaptive Cluster Sampling 30926. Stratified Adaptive Cluster Sampling 323Answers to Selected Exercises 339References 343Author Index 361Subject Index 365