Elementary survey sampling /
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Author / Creator: | Scheaffer, Richard L. |
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Edition: | 6th ed. |
Imprint: | Southbank, Vic. ; Belmont, Calif. : Thomson Brooks/Cole, 2006. |
Description: | xiii, 464 p. : ill. ; 25 cm. + 1 CD-ROM (4 3/4 in.) |
Language: | English |
Series: | Duxbury advanced series |
Subject: | |
Format: | Print Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/5930701 |
Table of Contents:
- 1. Introduction
- 2. Elements Of The Sampling Problem
- Introduction
- Technical Terms
- How to Select the Sample: The Design of the Sample Survey
- Sources of Errors in Surveys
- Designing a Questionnaire
- Planning a Survey
- Summary
- 3. Some Basic Concepts Of Statistics
- Introduction
- Summarizing Information in Populations and Samples: The Infinite Population Case
- Summarizing Information in Populations and Samples: The Finite Population Case
- Sampling Distributions
- Covariance and Correlation
- Estimation
- Summary
- 4. Simple Random Sampling
- Introduction
- How to Draw a Simple Random Sample
- Estimation of a Population Mean and Total
- Selecting the Sample Size for Estimating Population Means and Totals
- Estimation of a Population Proportion
- Comparing Estimates
- Summary
- 5. Stratified Random Sampling
- Introduction
- How to Draw a Stratified Random Sample
- Estimation of a Population Mean and Total
- Selecting the Sample Size for Estimating Population Means and Totals
- Allocation of the Sample
- Estimation of a Population Proportion
- Selecting the Sample Size and Allocating the Sample to Estimate Proportions
- Additional Comments on Stratified Sampling
- An Optimal Rule for Choosing Strata
- Stratification after Selection of the Sample
- Double Sampling for Stratification
- Summary
- 6. Ratio, Regression, And Difference Estimation
- Introduction
- Surveys that Require the Use of Ratio Estimators
- Ratio Estimation Using Simple Random Sampling
- Selecting the Sample Size
- Ratio Estimation in Stratified Random Sampling
- Regression Estimation
- Difference Estimation
- Relative Efficiency of Estimators
- Summary
- 7. Systematic Sampling
- Introduction
- How to Draw a Systematic Sample
- Estimation of a Population Mean and Total
- Estimation of a Population Proportion
- Selecting the Sample Size
- Repeated Systematic Sampling
- Further Discussion of Variance Estimators
- Summary
- 8. Cluster Sampling
- Introduction
- How to Draw a Cluster Sample
- Estimation of a Population Mean and Total
- Equal Cluster Sizes; Comparison to Simple Random Sampling
- Selecting the Sample Size for Estimating Population Means and Totals
- Estimation of a Population Proportion
- Selecting the Sample Size for Estimating Proportions
- Cluster Sampling Combined with Stratification
- Cluster Sampling with Probabilities Proportional to Size
- Summary
- 9. Two-Stage Cluster Sampling
- Introduction
- How to Draw a Two-Stage Cluster Sample
- Unbiased Estimation of a Population Mean and Total
- Ratio Estimation of a Population Mean
- Estimation of a Population Proportion
- Sampling Equal-Sized Clusters
- Two-Stage Cluster Sampling with Probabilities Proportional to Size
- Summary
- 10. Estimating The Population Size
- Introduction
- Estimation of a Population Size Using Direct Sampling
- Estimation of a Population Size Using Inverse Sampling
- Choosing Sample Sizes for Direct and Inverse Sampling
- Estimating Population Density and Size from Quadrat Samples
- Estimating Population Density and Size from Stocked Quadrats
- Adaptive Sampling
- Summary
- 11. Supplemental Topics
- Introduction
- Interpenetrating Subsamples
- Estimation of Means and Totals over Subpopulations
- Random-Response Model
- Use of Weights in Sample Surveys
- Adjusting for Nonresponse
- Imputation
- Selecting the Number of Callbacks
- The Bootstrap
- Summary
- 12. Summary
- Summary of the Designs and Methods
- Comparisons among the Designs and Methods
- Appenidices
- References and Bibliography Tables
- Derivation of Some Main Results
- Macros for MINITAB
- Macros for SAS
- Data Sets
- Selected Answers
- Index