Sampling (PDF)
(Sprache: Englisch)
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 . . ....
"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 . . ....
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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.
"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.
Inhaltsverzeichnis zu „Sampling (PDF)“
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
Autoren-Porträt von Steven K. Thompson
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).
Bibliographische Angaben
- Autor: Steven K. Thompson
- 2012, 3. Auflage, 472 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 111816296X
- ISBN-13: 9781118162965
- Erscheinungsdatum: 08.03.2012
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