Thompson Sampling

3. Auflage 2012
ISBN: 978-1-118-16296-5
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 472 Seiten, E-Book

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 Math
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.

Autoren/Hrsg.

Thompson, Steven K.

Inhaltsverzeichnis

Preface to the Third Edition
Preface to the Second Edition xiii
Preface to the First Edition xv
1. Introduction 1
Part I. Basic Sampling 9
2. Simple Random Sampling 11
3. Confidence Intervals 29
4. Sample Size 35
5. Estimating Proportions, Ratios, and Subpopulation Means 39
6. Unequal Probability Sampling 51
Part II. Making the Best Use of Survey Data 65
7. Auxiliary Data and Ratio Estimation 67
8. Regression Estimation 89
9. The Sufficient Statistic in Sampling 101
10. Design and Model 107
Part III. Some Useful Designs 115
11. Stratified Sampling 117
12. Cluster and Systematic Sampling 129
13. Multistage Designs 143
14. Double or Two-Phase Sampling 157
Part IV. Methods for Elusive and Hard-to-Detect Populations 171
15. Network Sampling and Link-Tracing Designs 173
16. Detectability and Sampling 185
17. Line and Point Transects 199
18. Capture-Recapture Sampling 233
19. Line-Intercept Sampling 245
Part V. Spatial Sampling 255
20. Spatial Prediction or Kriging 257
21. Spatial Designs 271
22. Plot Shapes and Observational Methods 275
Part VI. Adaptive Sampling 283
23. Adaptive Sampling Designs 285
24. Adaptive Cluster Sampling 289
25. Systematic and Strip Adaptive Cluster Sampling 309
26. Stratified Adaptive Cluster Sampling 323
Answers to Selected Exercises 339
References 343
Author Index 361
Subject Index 365

Über Autor(innen)

Steven K. Thompson, PhD, is Shrum Chair in Science and Professor of Statistics at the Simon Fraser University. During his career, he has served on the faculties of the Pennsylvania State University, the University of Auckland, and the University of Alaska. He is also the coauthor of Adaptive Sampling (Wiley).