Sampling: Thompson/Sampling 3E

Content: Chapter 1 Introduction (pages 1–8): Chapter 2 Simple Random Sampling (pages 9–37): Chapter 3 Confidence Intervals (pages 39–51): Chapter 4 Sample Size (pages 53–56): Chapter 5 Estimating Proportions, Ratios, and Subpopulation Means (pages 57–66): Chapter 6 Unequal Probability Sampling (pages 67–89): Chapter 7 Auxiliary Data and Ratio Estimation (pages 91–114): Chapter 8 Regression Estimation (pages 115–124): Chapter 9 The Sufficient Statistic in Sampling (pages 125–129): Chapter 10 Design and Model (pages 131–137): Chapter 11 Stratified Sampling (pages 139–156): Chapter 12 Cluster and Systematic Sampling (pages 157–170): Chapter 13 Multistage Designs (pages 171–182): Chapter 14 Double or Two?Phase Sampling (pages 183–198): Chapter 15 Network Sampling and Link?Tracing Designs (pages 199–213): Chapter 16 Detectability and Sampling (pages 215–227): Chapter 17 Line and Point Transects (pages 229–261): Chapter 18 Capture–Recapture Sampling (pages 263–274): Chapter 19 Line?Intercept Sampling (pages 275–282): Chapter 20 Spatial Prediction or Kriging (pages 283–299): Chapter 21 Spatial Designs (pages 301–303): Chapter 22 Plot Shapes and Observational Methods (pages 305–311): Chapter 23 Adaptive Sampling Designs (pages 313–318): Chapter 24 Adaptive Cluster Sampling (pages 319–337): Chapter 25 Systematic and Strip Adaptive Cluster Sampling (pages 339–352): Chapter 26 Stratified Adaptive Cluster Sampling (pages 353–368): The Third Edition Retains The General Organization Of The Prior Two Editions, But It Incorporates New Material Throughout The Text. The Book Is Organized Into Six Parts: Part I Covers Basic Sampling From Simple Random Sampling To Unequal Probability Sampling; Part Ii Treats The Use Of Auxiliary Data With Ratio And Regression Estimation And Looks At The Ideas Of Sufficient Data, Model, And Design In Practical Sampling; Part Iii Covers Major Useful Designs Such As Stratified, Cluster And Systematic, Multistage, And Double And Network Sampling; Part Iv Examines Detectability Methods For Elusive Populations, And Basic Problems In Detectability, Visibility, And Catchability Are Discussed; Part V Concerns Spatial Sampling With The Prediction Methods Of Geostatistics, Considerations Of Efficient Spatial Designs, And Comparisons Of Different Observational Methods Including Plot Shapes And Detection Aspects; And Part Vi Introduces Adaptive Sampling Designs In Which The Sampling Procedure Depends On What Is Observed During The Survey. For This New Edition, The Author Has Focused On Thoroughly Updating The Book With A Special Emphasis On The First 14 Chapters Since These Topics Are Invariably Covered In Basic Sampling Courses. The Author Has Also Implemented New Approaches To Explain The Various Techniques In The Book, And As A Result, New Examples And Explanations Have Been Added Throughout. In An Effort To Improve The Presentation And Visualization Of The Book, New Figures As Well As Replacement Figures For Previously Existing Figures Have Been Added. This Book Has Continuously Stood Out From Other Sampling Texts Since The Figures Evoke The Idea Of Each Sampling Design. The New Figures Will Help Readers To Better Visualize And Understand The Underlying Concepts Such As The Different Sampling Strategies-- 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. Steven K. Thompson. Machine Generated Contents Note: 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 . Includes Bibliographical References (p. 375-393) And Indexes. 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. "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 ... 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."--Résumé de l'éditeur 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-