Sampling of Populations : Methods and Applications

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  • Edition: 4th
  • Format: Hardcover
  • Copyright: 2008-08-04
  • Publisher: Wiley

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Sampling of Populations: Methods and Applications, 4th Edition is an all-inclusive resource on the basic and most current practices in population sampling. Find the essential statistical methods for survey design and analysis, while also exploring techniques that have developed over the past decade. Understand the basic concepts and procedures that accompany real-world sample surveys, such as sampling designs, problems of missing data, statistical analysis of multistage sampling data, and nonresponse and poststratification adjustment procedures through illustrative examples that demonstrate the rationale behind common steps in the sampling process.

Author Biography

Paul S. Levy is Senior Research Fellow at RTI International and Professor Emeritus of Epidemiology and Biostatistics in the School of Public Health at the University of Illinois. A Fellow of both the American Statistical Association and the American College of Epidemiology, Dr. Levy has authored or coauthored over 225 articles in his areas of research interest, which include sample survey methodology, design of epidemiological studies, and methodology relevant to analysis of data from observational studies.

Stanley Lemeshow, PhD, is Professor of Biostatistics and Dean of the College of Public Health at The Ohio State University. He has over thirty-five years of academic experience in the areas of regression, categorical data methods, and sampling methods. A Fellow of the American Statistical Association, Dr. Lemeshow is the coauthor of Applied Survival Analysis, Second Edition and Applied Logistic Regression, Second Edition, both published by Wiley.

Table of Contents

Getting Files from the Wiley ftp and Internet Sites
List of Data Sites Provides on Web Site
Preface to the Fourth Edition
Basic Concepts
Use of Sample Surveys
The Population and the Sample
Major Sampling Designs and Estimation Procedures
Simple Random Sampling
Systematic Sampling
Stratification and Stratified random Sampling
Stratified Random Sampling: Further Issues
Ratio Estimation
Cluster Sampling: Introduction and Overview
Simple One-Stage Cluster Sampling
Two-Stage Cluster Sampling: Clusters Sampled with Equal Probability
Cluster Sampling in Which Clusters Are Sampled with Unequal Probability: Probability Proportional to Size Sampling
Variance Estimation inn Complex Sample Surveys
Selected Topics in Sample Survey Methodology
Nonresponse and Missing Data in Sample Surveys
Selected Topics in Sample Design and Estimation Methodology
Telephone Survey Sampling
Constructing the Survey Weights
Strategies for Design-Based Analysis of Sample Survey Data
Answers to Selected Exercises
Table of Contents provided by Publisher. All Rights Reserved.

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