Sampling : design and analysis /
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Author / Creator: | Lohr, Sharon L., 1960- |
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Edition: | 2nd ed. |
Imprint: | Boston, Mass. : Brooks/Cole, c2010. |
Description: | xi, 596 p. : ill. ; 25 cm. |
Language: | English |
Subject: | Sampling (Statistics) Stichprobe. Sampling (Statistics) |
Format: | Print Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/8002700 |
Table of Contents:
- 1. Introduction A Sample Controversy
- Requirements of a Good Sample
- Selection Bias
- Measurement Bias
- Questionnaire Design
- Sampling and Nonsampling Errors
- Exercises
- 2. Simple Probability Samples Types of Probability Samples
- Framework for Probability Sampling
- Simple Random Sampling
- 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?
- Exercises
- 3. Ratio and Regression Estimation Ratio Estimation
- Regression Estimation
- Estimation in Domains
- Models for Ration and Regression Estimation
- Comparison
- Exercises
- 4. 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
- Exercises
- 5. 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 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
- 7. 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
- 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?
- Exercises
- 9. Variance Estimation in Complex Surveys Linearization (Taylor Series) Methods
- Random Group Methods
- Resampling and Replication Methods
- Generalized Variance Functions
- Confidence Intervals
- Summary and Software
- Exercises
- 10. Categorical Data Analysis in Complex Surveys Chi-square Tests with Multinomial Sampling
- Effects of Survey Design on Chi-Square Tests
- Corrections to Chi-Square Tests
- Loglinear Models
- 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
- Exercises
- 12. Other Topics in Sampling Two-Phase Sampling
- Capture-Recapture Estimation
- Estimation in Domains, Revisited
- Sampling for Rare Events
- Randomized Response
- Appendix A. The Survey Program
- Appendix B. Probability Concepts Used in Sampling
- Probability
- Random Variables and Expected Value
- Conditional Probability
- Conditional Expectation
- Appendix C. Data Sets
- Appendix D. Computer Codes Used for Examples
- Appendix E. Statistical Table
- References
- Author Index
- Subject Index