Sampling

Description

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." —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. Content: Preface -- Preface to the Second Edition -- Preface to the First Edition -- 1. Introduction -- Part I. Basic Sampling -- 2. Simple Random Sampling -- 3. Confidence Intervals -- 4. Sample Size -- 5. Estimating Proportions, Ratios, and Subpopulation Means -- 6. Unequal Probability Sampling -- Part II. Making the Best Use of Survey Data -- 7. Auxiliary Data and Ratio Estimation -- 8. Regression Estimation -- 9. The Sufficient Statistic in Sampling -- 10. Design and Model -- Part III. Some Useful Designs -- 11. Stratified Sampling -- 12. Cluster and Systematic Sampling -- 13. Multistage Designs -- 14. Double or Two-Phase Sampling -- Part IV. Methods for Elusive and Hard-to-Detect Populations -- 15. Network Sampling and Link-Tracing Designs -- 16. Detectability and Sampling -- 17. Line and Point Transects -- 18. Capture-Recapture Sampling -- 19. Line-Intercept Sampling -- Part V. Spatial Sampling -- 20. Spatial Prediction or Kriging -- 21. Spatial Designs -- 22. Plot Shapes and Observational Methods -- Part VI. Adaptive Sampling -- 23. Adaptive Sampling Designs -- 24. Adaptive Cluster Sampling -- 25. Systematic and Strip Adaptive Cluster Sampling -- 26. Stratified Adaptive Cluster Sampling -- Answers to Selected Exercises -- References -- Author Index -- Subject Index.