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Sampling of Populations [electronic resource] : Methods and Applications

By: Contributor(s): Material type: Computer fileComputer filePublisher number: 9780470040072Series: Wiley Series in Survey MethodologyPublication details: Chicester : John Wiley & Sons, 2011.Edition: 4th edISBN:
  • 9780470374580
Subject(s): Genre/Form: Additional physical formats: Print version:: Sampling of Populations : Methods and ApplicationsDDC classification:
  • 304.601/51952 304.6015195
LOC classification:
  • HB849.49
Online resources:
Contents:
Sampling of Populations: Methods and Applications; Contents; Tables; Boxes; Figures; Getting Files from the Wiley ftp and Internet Sites; List of Data Sites Provided on Web Site; Preface to the Fourth Edition; PART 1 BASIC CONCEPTS; 1. Uses of Sample Surveys; 1.1 Why Sample Surveys Are Used; 1.2 Designing Sample Surveys; 1.2.1 Sample Design; 1.2.2 Survey Measurements; 1.2.3 Survey Operations; 1.2.4 Statistical Analysis and Report Writing; 1.3 Preliminary Planning of a Sample Survey; Exercises; Bibliography; 2. The Population and the Sample; 2.1 The Population; 2.1.1 Elementary Units
2.1.2 Population Parameters2.2 The Sample; 2.2.1 Probability and Nonprobability Sampling; 2.2.2 Sampling Frames, Sampling Units, and Enumeration Units; 2.3 Sampling Measurements and Summary Statistics; 2.2.4 Estimation of Population Characteristics; 2.3 Sampling Distributions; 2.4 Characteristics of Estimates of Population Parameters; 2.4.1 Bias; 2.4.2 Mean Square Error; 2.4.3 Validity, Reliability, and Accuracy; 2.5 Criteria for a Good Sample Design; 2.6 Summary; Exercises; Bibliography; PART 2 MAJOR SAMPLING DESIGNS AND ESTIMATION PROCEDURES; 3. Simple Random Sampling
3.1 What Is a Simple Random Sample?3.1.1 How to Take a Simple Random Sample; 3.1.2 Probability of an Element Being Selected; 3.2 Estimation of Population Characteristics Under Simple Random Sampling; 3.2.1 Estimation Formulas; 3.2.2 Numerical Computation of Estimates and Their Standard Errors; 3.3 Sampling Distributions of Estimated Population Characteristics; 3.4 Coefficients of Variation of Estimated Population Parameters; 3.5 Reliability of Estimates; 3.6 Estimation of Parameters for Subdomains; 3.7 How Large a Sample Do We Need?; 3.8 Why Simple Random Sampling Is Rarely Used; 3.9 Summary
5. Stratification and Stratified Random Sampling5.1 What Is a Stratified Random Sample?; 5.2 How to Take a Stratified Random Sample; 5.3 Why Stratified Sampling?; 5.4 Population Parameters for Strata; 5.5 Sample Statistics for Strata; 5.6 Estimation of Population Parameters from Stratified Random Sampling; 5.7 Summary; Exercises; Bibliography; 6. Stratified Random Sampling: Further Issues; 6.1 Estimation of Population Parameters; 6.2 Sampling Distributions of Estimates; 6.3 Estimation of Standard Errors; 6.4 Estimation of Characteristics of Subgroups; 6.5 Allocation of Sample to Strata
6.5.1 Equal Allocation
ExercisesBibliography; 4. Systematic Sampling; 4.1 How To Take a Systematic Sample; 4.2 Estimation of Population Characteristics; 4.3 Sampling Distribution of Estimates; 4.4 Variance of Estimates; 4.5 A Modification That Always Yields Unbiased Estimates; 4.6 Estimation of Variances; 4.7 Repeated Systematic Sampling; 4.7.1 Use of Stata For Estimation In Repeated Systematic Sampling; 4.7.2 Use of SUDAAN for Estimation in Repeated Systematic Sampling; 4.8 How Large a Sample Do We Need?; 4.9 Using Frames That Are Not Lists; 4.10 Summary; Exercises; Bibliography
Summary: A trusted classic on the key methods in population sampling-now in a modernized and expanded new edition Sampling of Populations, Fourth Edition continues to serve as an all-inclusive resource on the basic and most current practices in population sampling. Maintaining the clear and accessible style of the previous edition, this book outlines the essential statistical methodsfor survey design and analysis, while also exploring techniques that have developed over the past decade. The Fourth Edition successfully guides the reader through the basic concepts and procedures
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Enhanced descriptions from Syndetics:

Description based upon print version of record.

Sampling of Populations: Methods and Applications; Contents; Tables; Boxes; Figures; Getting Files from the Wiley ftp and Internet Sites; List of Data Sites Provided on Web Site; Preface to the Fourth Edition; PART 1 BASIC CONCEPTS; 1. Uses of Sample Surveys; 1.1 Why Sample Surveys Are Used; 1.2 Designing Sample Surveys; 1.2.1 Sample Design; 1.2.2 Survey Measurements; 1.2.3 Survey Operations; 1.2.4 Statistical Analysis and Report Writing; 1.3 Preliminary Planning of a Sample Survey; Exercises; Bibliography; 2. The Population and the Sample; 2.1 The Population; 2.1.1 Elementary Units

2.1.2 Population Parameters2.2 The Sample; 2.2.1 Probability and Nonprobability Sampling; 2.2.2 Sampling Frames, Sampling Units, and Enumeration Units; 2.3 Sampling Measurements and Summary Statistics; 2.2.4 Estimation of Population Characteristics; 2.3 Sampling Distributions; 2.4 Characteristics of Estimates of Population Parameters; 2.4.1 Bias; 2.4.2 Mean Square Error; 2.4.3 Validity, Reliability, and Accuracy; 2.5 Criteria for a Good Sample Design; 2.6 Summary; Exercises; Bibliography; PART 2 MAJOR SAMPLING DESIGNS AND ESTIMATION PROCEDURES; 3. Simple Random Sampling

3.1 What Is a Simple Random Sample?3.1.1 How to Take a Simple Random Sample; 3.1.2 Probability of an Element Being Selected; 3.2 Estimation of Population Characteristics Under Simple Random Sampling; 3.2.1 Estimation Formulas; 3.2.2 Numerical Computation of Estimates and Their Standard Errors; 3.3 Sampling Distributions of Estimated Population Characteristics; 3.4 Coefficients of Variation of Estimated Population Parameters; 3.5 Reliability of Estimates; 3.6 Estimation of Parameters for Subdomains; 3.7 How Large a Sample Do We Need?; 3.8 Why Simple Random Sampling Is Rarely Used; 3.9 Summary

5. Stratification and Stratified Random Sampling5.1 What Is a Stratified Random Sample?; 5.2 How to Take a Stratified Random Sample; 5.3 Why Stratified Sampling?; 5.4 Population Parameters for Strata; 5.5 Sample Statistics for Strata; 5.6 Estimation of Population Parameters from Stratified Random Sampling; 5.7 Summary; Exercises; Bibliography; 6. Stratified Random Sampling: Further Issues; 6.1 Estimation of Population Parameters; 6.2 Sampling Distributions of Estimates; 6.3 Estimation of Standard Errors; 6.4 Estimation of Characteristics of Subgroups; 6.5 Allocation of Sample to Strata

6.5.1 Equal Allocation

ExercisesBibliography; 4. Systematic Sampling; 4.1 How To Take a Systematic Sample; 4.2 Estimation of Population Characteristics; 4.3 Sampling Distribution of Estimates; 4.4 Variance of Estimates; 4.5 A Modification That Always Yields Unbiased Estimates; 4.6 Estimation of Variances; 4.7 Repeated Systematic Sampling; 4.7.1 Use of Stata For Estimation In Repeated Systematic Sampling; 4.7.2 Use of SUDAAN for Estimation in Repeated Systematic Sampling; 4.8 How Large a Sample Do We Need?; 4.9 Using Frames That Are Not Lists; 4.10 Summary; Exercises; Bibliography

A trusted classic on the key methods in population sampling-now in a modernized and expanded new edition Sampling of Populations, Fourth Edition continues to serve as an all-inclusive resource on the basic and most current practices in population sampling. Maintaining the clear and accessible style of the previous edition, this book outlines the essential statistical methodsfor survey design and analysis, while also exploring techniques that have developed over the past decade. The Fourth Edition successfully guides the reader through the basic concepts and procedures