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| Introduction A Sample Controversy | |
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| Requirements of a Good Sample | |
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| Selection Bias | |
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| Measurement Bias | |
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| Questionnaire Design | |
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| Sampling and Nonsampling Errors | |
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| Exercises | |
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| Simple Probability Samples Types of Probability Samples | |
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| Framework for Probability Sampling | |
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| Simple Random Sampling | |
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| Confidence Intervals | |
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| Sample Size Estimation | |
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| Systematic Sampling | |
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| Randomization Theory Results for Simple Random Sampling | |
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| A Model for Simple Random Sampling | |
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| When Should a Simple Random Sample Be Used? | |
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| Exercises | |
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| Ratio and Regression Estimation Ratio Estimation | |
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| Regression Estimation | |
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| Estimation in Domains | |
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| Models for Ration and Regression Estimation | |
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| Comparison | |
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| Exercises | |
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| Stratified Sampling What is Stratified Sampling? | |
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| Theory of Stratified Sampling | |
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| Sampling Weights | |
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| Allocating Observations to Strata | |
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| Defining Strata | |
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| A Model for Stratified Sampling | |
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| Poststratification | |
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| Quota Sampling | |
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| Exercises | |
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| Cluster Sampling with Equal Probabilities Notation for Cluster Sampling | |
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| One-Stage Cluster Sampling | |
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| Two-Stage Cluster Sampling | |
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| Using Weights in Cluster Samples | |
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| Designing a Cluster Sample | |
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| Systematic Sampling | |
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| Models for Cluster Sampling | |
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| Summary Exercises | |
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| Sampling with Unequal Probabilities Sampling One Primary Sampling Unit | |
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| One-Stage Sampling with Replacement | |
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| Two-Stage Sampling with Replacement | |
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| Unequal-Probability Sampling Without Replacement | |
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| Examples of Unequal-Probability Samples | |
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| Randomization Theory Results and Proofs | |
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| Models and Unequal-Probability Sampling | |
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| Complex Surveys Assembling Design Components | |
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| Sampling Weights | |
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| Estimating a Distribution Function | |
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| Plotting Data from a Complex Survey | |
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| Design Effects | |
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| The National Crime Victimization Survey | |
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| Sampling and Experiment Design | |
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| Exercises | |
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| Nonresponse Effects of Ignoring Nonresponse | |
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| Designing Surveys to Reduce Nonsampling Errors | |
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| Callbacks and Two-Phase Sampling | |
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| Mechanisms for Nonresponse | |
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| Weighting Methods for Nonresponse | |
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| Imputation | |
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| Parametric Models for Nonresponse | |
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| What is An Acceptable Response Rate? | |
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| Exercises | |
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| Variance Estimation in Complex Surveys Linearization (Taylor Series) Methods | |
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| Random Group Methods | |
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| Resampling and Replication Methods | |
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| Generalized Variance Functions | |
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| Confidence Intervals | |
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| Summary and Software | |
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| Exercises | |
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| Categorical Data Analysis in Complex Surveys Chi-square Tests with Multinomial Sampling | |
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| Effects of Survey Design on Chi-Square Tests | |
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| Corrections to Chi-Square Tests | |
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| Loglinear Models | |
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| Exercises | |
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| Regression with Complex Survey Data Model-based Regression in Simple Random Samples | |
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| Regression in Complex Surveys | |
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| Should Weights be Used in Regression? | |
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| Mixed Models for Cluster Samples | |
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| Logistic Regression | |
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| Generalized Regression Estimation for Population Totals | |
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| Exercises | |
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| Other Topics in Sampling Two-Phase Sampling | |
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| Capture-Recapture Estimation | |
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| Estimation in Domains, Revisited | |
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| Sampling for Rare Events | |
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| Randomized Response | |
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| The Survey Program | |
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| Probability Concepts Used in Sampling | |
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| Probability | |
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| Random Variables and Expected Value | |
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| Conditional Probability | |
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| Conditional Expectation | |
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| Data Sets | |
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| Computer Codes Used for Examples | |
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| Statistical Table | |
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| References | |
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| Author Index | |
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| Subject Index | |