Sampling

الغلاف الأمامي
John Wiley & Sons, ٠٨‏/٠٢‏/٢٠١٢ - 472 من الصفحات
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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.

 

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المحتويات

Introduction
1
Simple Random Sampling
11
Confidence Intervals
39
Sample Size
53
Unequal Probability Sampling
67
Auxiliary Data and Ratio Estimation
93
Regression Estimation
115
The Sufficient Statistic in Sampling
125
METHODS FOR ELUSIVE AND HARDTODETECT
199
Detectability and Sampling
215
Line and Point Transects
229
CaptureRecapture Sampling
263
LineIntercept Sampling
275
Spatial Prediction or Kriging
285
Spatial Designs
301
Adaptive Sampling Designs
315

Design and Model
131
Stratified Sampling
141
Cluster and Systematic Sampling
157
Exercises
169
Multistage Designs
171
Double or TwoPhase Sampling
183
Systematic and Strip Adaptive Cluster Sampling
339
Stratified Adaptive Cluster Sampling
353
Answers to Selected Exercises
369
References
375
Author Index
395
حقوق النشر

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عبارات ومصطلحات مألوفة

حول المؤلف (2012)

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).

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