Sampling

Steven K. Thompson

368 pages, parution le 19/04/2002 (2^eme édition)

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Résumé

Estimating an elusive human population, estimating the abundance of an animal population, predicting the amount of fossil-fuel resource at a new site, or estimating the prevalence of a rare disease requires statistical methods that go beyond the material traditionally found in sampling texts. Designed specifically for scientific researchers and others who use sampling, this important reference is the first to explore the host of sampling methods useful for investigating populations that are inherently difficult to sample, elusive, rare, clustered, or hard to detect. Balancing both classical and modern sampling methods, Sampling offers systematic, thorough, and broad-based coverage of basic and standard sampling design and estimation methods. Organized into six parts containing twenty-six chapters, the book is a comprehensive one-volume seminar on using sampling methods to develop effective sampling designs for real life situations.

Contents

Preface

1 Introduction 1

Pt. I Basic Sampling 9

2 Simple Random Sampling 11
3 Confidence Intervals 26
4 Sample Size 31
5 Estimating Proportions, Ratios, and Subpopulation Means 35
6 Unequal Probability Sampling 46

Pt. II Making the Best Use of Survey Data 57

7 Auxiliary Data and Ratio Estimation 59
8 Regression Estimation 78
9 The Sufficient Statistic in Sampling 89
10 Design and Model 94

Pt. III Some Useful Designs 99

11 Stratified Sampling 101
12 Cluster and Systematic Sampling 113
13 Multistage Designs 126
14 Double Sampling 139
15 Network Sampling 148

Pt. IV Detectability Methods for Elusive Populations 159

16 Detectability and Sampling 161
17 Line Transects and Variable Circular Plots 176
18 Capture-Recapture Sampling 212
19 Line-Intercept Sampling 225

Pt. V Spatial Sampling 235

20 Spatial Prediction or Kriging 237
21 Spatial Designs 251
22 Plot Shapes and Observational Methods 254

Pt. VI Adaptive Sampling 261

23 Adaptive Sampling Designs 263
24 Adaptive Cluster Sampling 266
25 Systematic and Strip Adaptive Cluster Sampling 287
26 Stratified Adaptive Cluster Sampling 302

Answers to Selected Exercises 319
References 322
Author Index 337
Subject Index 341

Caractéristiques techniques

	PAPIER
Éditeur(s)	Wiley
Auteur(s)	Steven K. Thompson
Parution	19/04/2002
Édition	2^eme édition
Nb. de pages	368
Format	16 x 24
Couverture	Relié
Poids	681g
Intérieur	Noir et Blanc
EAN13	9780471291169
ISBN13	978-0-471-29116-9