Sampling : Design and Analysis
ISBN: 9780495105275 | 0495105279
Edition: 2ndFormat: Hardcover
Publisher: Cengage Learning
Pub. Date: 12/9/2009
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Sharon L. Lohr's SAMPLING: DESIGN AND ANALYSIS provides a modern introduction to the field of sampling. With a multitude of applications from a variety of disciplines, the book concentrates on the statistical aspects of taking and analyzing a sample. Overall, the book 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.
| Introduction | |
| A Sample Controversy | |
| Requirements of a Good Sample | |
| Selection Bias | |
| Measurement Error | |
| Questionnaire Design | |
| Sampling and Nonsampling Errors | |
| Simple Probability Samples | |
| Types of Probability Samples | |
| Framework for Probability Sampling | |
| Simple Random Sampling | ... MORE |
| Sampling Weights | |
| Confidence Intervals | |
| Sample Size Estimation | |
| Systematic Sampling | |
| Randomization Theory Results for Simple Random Sampling | |
| A Model for Simple Random Sampling | |
| When Should a Simple Random Sample Be Used? | |
| Chapter Summary | |
| Stratified Sampling | |
| What is Stratified Sampling? Theory of Stratified Sampling | |
| Sampling Weights | |
| Allocating Observations to Strata | |
| Defining Strata | |
| A Model for Stratified Sampling | |
| Poststratification | |
| Quota Sampling | |
| Chapter Summary | |
| Ratio and Regression Estimation | |
| Ratio Estimation | |
| Regression Estimation | |
| Estimation in Domains | |
| Models for Ratio and Regression Estimation | |
| Comparison | |
| Chapter Summary | |
| Cluster Sampling with Equal Probabilities | |
| Notation for Cluster Sampling | |
| One-Stage Cluster Sampling | |
| Two-Stage Cluster Sampling | |
| Using Weights in Cluster Samples | |
| Designing a Cluster Sample | |
| Systematic Sampling | |
| Models for Cluster Sampling | |
| Summary | |
| Chapter Summary | |
| Sampling With Unequal Probabilities | |
| Sampling One Primary Sampling Unit | |
| One-Stage Sampling with Replacement | |
| Two-Stage Sampling with Replacement | |
| Unequal Probability Sampling Without Replacement | |
| Examples of Unequal Probability Samples | |
| Randomization Theory Results and Proofs | |
| Models and Unequal Probability Sampling | |
| Chapter Summary | |
| Complex Surveys | |
| Assembling Design Components | |
| Sampling Weights | |
| Estimating a Distribution Function | |
| Plotting Data From a Complex Survey | |
| Design Effects | |
| The National Crime Victimization Survey | |
| Sampling and Experiment Design | |
| Chapter Summary | |
| Nonresponse | |
| Effects of Ignoring Nonresponse | |
| Designing Surveys to Reduce Nonsampling Errors | |
| Callbacks and Two-Phase Sampling | |
| Mechanisms for Nonresponse | |
| Weighting Methods for Nonresponse | |
| Imputation | |
| Parametric Models for Nonresponse | |
| What is An Acceptable Response Rate? | |
| Chapter Summary | |
| Variance Estimation in Complex Surveys | |
| Linearization (Taylor Series) Methods | |
| Random Group Methods | |
| Resampling and Replication Methods | |
| Generalized Variance Functions | |
| Confidence Intervals | |
| Chapter Summary | |
| Categorical Data Analysis in Complex Surveys | |
| Chi-Squared Tests with Multinomial Sampling | |
| Effects of Survey Design on Chi-Squared Tests | |
| Corrections to Chi-Squared Tests | |
| Loglinear Models | |
| Chapter Summary | |
| Regression With Complex Survey Data | |
| Model-based Regression in Simple Random Samples | |
| Regression in Complex Surveys | |
| Should Weights be Used in Regression? Mixed Models for Cluster Samples | |
| Logistic Regression | |
| Generalized Regression Estimation for Population Totals | |
| Chapter Summary | |
| Two Phase Sampling | |
| Two-Phase Sampling for Stratification | |
| Two-Phase Sampling for Ratio Estimation | |
| Theory of Two-Phase Sampling | |
| Chapter Summary | |
| Estimating Population Size | |
| Capture-Recapture Estimates | |
| Contingency Tables for Capture-Recapture Experiments | |
| Assessing Undercoverage | |
| Chapter Summary | |
| Rare Populations and Small Areas | |
| What is a Rare Population? Sampling for Rare Events | |
| Estimation in Domains, Revisited | |
| Small Area Estimation | |
| Chapter Summary | |
| Survey Quality | |
| Coverage Error | |
| Nonresponse Error | |
| Measurement Error | |
| Sensitive Questions | |
| Processing Error | |
| Sampling Error | |
| Interaction of Error Sources | |
| The Future of Sampling | |
| Chapter Summary | |
| The Survey Program | |
| Probability Concepts Used in Sampling | |
| Probability | |
| Random Variables and Expected Value | |
| Conditional Probability | |
| Conditional Expectation | |
| Data Sets | |
| Computer Codes Used for Examples | |
| Statistical Table | |
| References | |
| Author Index | |
| Subject Index | |
| Table of Contents provided by Publisher. All Rights Reserved. |
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