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Sampling: Design and Analysis (Lohr)

 
 Author(s)  Sharon L. Lohr
 Title  Sampling: Design and Analysis
 Edition  
 Year  1999
 Publisher  Duxbury Press
 ISBN  0-534-35361-4
 Website  www.cengage.com
 book link
 

See related R package at http://lib.stat.cmu.edu/R/CRAN/web/packages/SDaA/index.html



Table of Contents


1. INTRODUCTION.
  • A Sample Controversy.
  • Requirements of a Good Sample.
  • Selection Bias.
  • Measurement Error.
  • Questionnaire Design.
  • Sampling and Nonsampling Errors.
  • Exercises.

2. SIMPLE PROBABILITY SAMPLES.
  • Types of Probability Samples.
  • Framework for Probability Sampling.
  • Simple Random Sampling.
  • Sampling Weights.
  • Confidence Intervals.
  • Sample Size Estimation.
  • Systematic Sampling.
  • Randomization Theory Results for Simple Random Sampling.
  • A Prediction Approach for Simple Random Sampling.
  • When Should a Simple Random Sample Be Used?
  • Chapter Summary.
  • Exercises.

3. STRATIFIED SAMPLING.
  • What Is Stratified Sampling?
  • Theory of Stratified Sampling.
  • Sampling Weights in Stratified Random Sampling.
  • Allocating Observations to Strata.
  • Defining Strata.
  • Model-Based Inference for Stratified Sampling.
  • Quota Sampling.
  • Chapter Summary.
  • Exercises.

4. RATIO AND REGRESSION ESTIMATION.
  • Ratio Estimation in a Simple Random Sample.
  • Estimation in Domains.
  • Regression Estimation in Simple Random Sampling.
  • Poststratification.
  • Ratio Estimation with Stratified Samples.
  • Model-Based Theory for Ratio and Regression Estimation.
  • Chapter Summary.
  • Exercises.

5. CLUSTER SAMPLING WITH EQUAL PROBABILITIES.
  • Notation for Cluster Sampling.
  • One-Stage Cluster Sampling.
  • Two-Stage Cluster Sampling.
  • Designing a Cluster Sample.
  • Systematic Sampling.
  • Model-Based Inference in Cluster Sampling.
  • Chapter Summary.
  • Exercises.

6. 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.
  • Exercises.

7. COMPLEX SURVEYS.
  • Assembling Design Components.
  • Sampling Weights.
  • Estimating a Distribution Function.
  • Plotting Data from a Complex Survey.
  • Univariate Plots.
  • Design Effects.
  • The National Crime Victimization Survey.
  • Sampling and Experiment Design.
  • Chapter Summary.
  • Exercises.

8. 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.
  • Exercises.

9. VARIANCE ESTIMATION IN COMPLEX SURVEYS.
  • Linearization (Taylor Series) Methods.
  • Random Group Methods.
  • Resampling and Replication Methods.
  • Generalized Variance Functions.
  • Confidence Intervals.
  • Chapter Summary.
  • Exercises.

10. CATEGORICAL DATA ANALYSIS IN COMPLEX SURVEYS.
  • Chi-Square Tests with Multinomial Sampling.
  • Effects of Survey Design on Chi-Square Tests.
  • Corrections to x2 Tests.
  • Loglinear Models.
  • Chapter Summary.
  • Exercises.

11. 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.
  • Exercises.

12. TWO-PHASE SAMPLING.
  • Theory for Two-Phase Sampling.
  • Two-Phase Sampling with Stratification.
  • Two-Phase Sampling with Ratio Estimation.
  • Subsampling Nonrespondents.
  • Designing a Two-Phase Sample.
  • Chapter Summary.
  • Exercises.

13. ESTIMATING POPULATION SIZE.
  • Capture-Recapture Estimates.
  • Contingency Tables for Capture-Recapture Experiments.
  • Assessing Undercoverage.
  • Chapter Summary.
  • Exercises.

14. RARE POPULATIONS AND SMALL AREA ESTIMATIONS.
  • Sampling for Rare Events.
  • Small Area Estimation.
  • Chapter Summary.
  • Exercises.

15. SURVEY QUALITY.
  • Nonresponse Error.
  • Measurement Error.
  • Sensitive Questions.
  • Processing Error.
  • Sampling Error.
  • Interaction of Error Sources.
  • The Future of Sampling.
  • Chapter Summary.
  • Exercises.


APPENDICES: PROBABILITY CONCEPTS USED IN SAMPLING.
  • Probability.
  • Random Variables and Expected Value.
  • Conditional Probability.
  • Conditional Expectation.


REFERENCES.





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