Sampling : Design and Analysis (Advanced Series) (2ND)

個数:

Sampling : Design and Analysis (Advanced Series) (2ND)

  • 在庫がございません。海外の書籍取次会社を通じて出版社等からお取り寄せいたします。
    通常6~9週間ほどで発送の見込みですが、商品によってはさらに時間がかかることもございます。
    重要ご説明事項
    1. 納期遅延や、ご入手不能となる場合がございます。
    2. 複数冊ご注文の場合、分割発送となる場合がございます。
    3. 美品のご指定は承りかねます。
  • ≪洋書のご注文につきまして≫ 「海外取次在庫あり」および「国内仕入れ先からお取り寄せいたします」表示の商品でも、納期の目安期間内にお届けできないことがございます。あらかじめご了承ください。

  • 製本 Hardcover:ハードカバー版/ページ数 596 p.
  • 言語 ENG,ENG
  • 商品コード 9780495105275
  • DDC分類 519

Full Description


Sharon L. Lohr's SAMPLINGmodern introduction to the field of survey sampling intended for a wide audience of statistics students. Practical and authoritative, the book is listed as a standard reference for training on real-world survey problems by a number of prominent surveying organizations. Lohr concentrates on the statistical aspects of taking and analyzing a sample, incorporating a multitude of applications from a variety of disciplines. The text gives guidance on how to tell when a sample is valid or not, and how to design and analyze many different forms of sample surveys. Recent research on theoretical and applied aspects of sampling is included, as well as optional technology instructions for using statistical software with survey data.

Table of Contents

Preface                                            ix
CHAPTER 1 Introduction 1
1.1 A Sample Controversy 1
1.2 Requirements of a Good Sample 3
1.3 Selection Bias 5
1.4 Measurement Error 9
1.5 Questionnaire Design 11
1.6 Sampling and Nonsampling Errors 16
1.7 Exercises 19
CHAPTER 2 Simple Probability Samples 25
2.1 Types of Probability Samples 25
2.2 Framework for Probability Sampling 28
2.3 Simple Random Sampling 33
2.4 Sampling Weights 39
2.5 Confidence Intervals 40
2.6 Sample Size Estimation 46
2.7 Systematic Sampling 50
2.8 Randomization Theory Results for Simple 51
Random Sampling
2.9 A Prediction Approach for Simple Random 54
Sampling
2.10 When Should a Simple Random Sample Be 58
Used?
2.11 Chapter Summary 59
2.12 Exercises 61
CHAPTER 3 Stratified Sampling 73
3.1 What Is Stratified Sampling? 73
3.2 Theory of Stratified Sampling 77
3.3 Sampling Weights in Stratified Random 82
Sampling
3.4 Allocating Observations to Strata 85
3.5 Defining Strata 91
3.6 Model-Based Inference for Stratified 95
Sampling
3.7 Quota Sampling 96
3.8 Chapter Summary 99
3.9 Exercises 101
CHAPTER 4 Ratio and Regression Estimation 117
4.1 Ratio Estimation in a Simple Random Sample 118
4.2 Estimation in Domains 133
4.3 Regression Estimation in Simple Random 138
Sampling
4.4 Poststratification 142
4.5 Ratio Estimation with Stratified Samples 144
4.6 Model-Based Theory for Ratio and 146
Regression Estimation
4.7 Chapter Summary 154
4.8 Exercises 155
CHAPTER 5 Cluster Sampling with Equal 165
Probabilities
5.1 Notation for Cluster Sampling 168
5.2 One-Stage Cluster Sampling 170
5.3 Two-Stage Cluster Sampling 182
5.4 Designing a Cluster Sample 191
5.5 Systematic Sampling 196
5.6 Model-Based Inference in Cluster Sampling 200
5.7 Chapter Summary 205
5.8 Exercises 207
CHAPTER 6 Sampling with Unequal Probabilities 219
6.1 Sampling One Primary Sampling Unit 221
6.2 One-Stage Sampling with Replacement 225
6.3 Two-Stage Sampling with Replacement 235
6.4 Unequal-Probability Sampling Without 238
Replacement
6.5 Examples of Unequal-Probability Samples 249
6.6 Randomization Theory Results and Proofs 254
6.7 Models and Unequal-Probability Sampling 262
6.8 Chapter Summary 265
6.9 Exercises 267
CHAPTER 7 Complex Surveys 281
7.1 Assembling Design Components 281
7.2 Sampling Weights 285
7.3 Estimating a Distribution Function 288
7.4 Plotting Data from a Complex Survey 294
7.5 Design Effects 309
7.6 The National Crime Victimization Survey 312
7.7 Sampling and Design of Experiments 317
7.8 Chapter Summary 319
7.9 Exercises 320
CHAPTER 8 Nonresponse 329
8.1 Effects of Ignoring Nonresponse 330
8.2 Designing Surveys to Reduce Nonsampling 332
Errors
8.3 Callbacks and Two-Phase Sampling 336
8.4 Mechanisms for Nonresponse 338
8.5 Weighting Methods for Nonresponse 340
8.6 Imputation 346
8.7 Parametric Models for Nonresponse 351
8.8 What Is an Acceptable Response Rate? 354
8.9 Chapter Summary 356
8.10 Exercises 357
CHAPTER 9 Variance Estimation in Complex 365
Surveys
9.1 Linearization (Taylor Series) Methods 366
9.2 Random Group Methods 370
9.3 Resampling and Replication Methods 373
9.4 Generalized Variance Functions 386
9.5 Confidence Intervals 388
9.6 Chapter Summary 392
9.7 Exercises 394
CHAPTER 10 Categorical Data Analysis in Complex 401
Surveys
10.1 Chi-Square Tests with Multinomial 401
Sampling
10.2 Effects of Survey Design on Chi-Square 407
Tests
10.3 Corrections to xイ Tests 411
10.4 Loglinear Models 417
10.5 Chapter Summary 421
10.6 Exercises 422
CHAPTER 11 Regression with Complex Survey Data 429
11.1 Model-Based Regression in Simple Random 430
Samples
11.2 Regression in Complex Surveys 434
11.3 Using Regression to Compare Domain Means 445
11.4 Should Weights Be Used in Regression? 447
11.5 Mixed Models for Cluster Samples 453
11.6 Logistic Regression 455
11.7 Generalized Regression Estimation for 457
Population Totals
11.8 Chapter Summary 461
11.9 Exercises 462
CHAPTER 12 Two-Phase Sampling 469
12.1 Theory for Two-Phase Sampling 472
12.2 Two-Phase Sampling with Stratification 473
12.3 Ratio and Regression Estimation in 477
Two-Phase Samples
12.4 Jackknife Variance Estimation for 481
Two-Phase Sampling
12.5 Designing a Two-Phase Sample 482
12.6 Chapter Summary 485
12.7 Exercises 486
CHAPTER 13 Estimating Population Size 495
13.1 Capture由ecapture Estimation 495
13.2 Multiple Recapture Estimation 501
13.3 Chapter Summary 505
13.4 Exercises 505
CHAPTER 14 Rare Populations and Small Area 511
Estimation
14.1 Sampling Rare Populations 512
14.2 Small Area Estimation 518
14.3 Chapter Summary 522
14.4 Exercises 523
CHAPTER 15 Survey Quality 527
15.1 Coverage Error 529
15.2 Nonresponse Error 533
15.3 Measurement Error 535
15.4 Sensitive Questions 540
15.5 Processing Error 542
15.6 Total Survey Quality 543
15.7 Chapter Summary 545
15.8 Exercises 546
APPENDIX A Probability Concepts Used in Sampling 549
A.1 Probability 549
A.2 Random Variables and Expected Value 552
A.3 Conditional Probability 556
A.4 Conditional Expectation 558
References 563
Author Index 587
Subject Index 592