Theory of sample surveys /
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| Author / Creator: | Gupta, A. K. (Arjun K.), 1938- |
|---|---|
| Imprint: | Singapore ; Hackensack, NJ : World Scientific Pub., c2011. |
| Description: | xii, 224 p. : ill. ; 23 cm. |
| Language: | English |
| Subject: | |
| Format: | Print Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/8400750 |
Table of Contents:
- Preface
- 1. Simple Random Sampling
- 1.1. Introduction
- 1.2. Simple Random Sampling without Replacement
- 1.3. Simple Random Sampling with Replacement
- 1.4. Procedures for Selection of Simple Random Samples
- 1.5. Determination of Sample Size
- 1.6. Estimation of a Proportion
- 2. Sampling With Varying Probabilities of Selection
- 2.1. Introduction
- 2.2. Sampling with Varying Probabilities of Selection and with Replacement
- 2.3. Comparison with SRSWR
- 2.4. Sampling with Varying Probabilities of Selection and without Replacement
- 2.5. Midzuno Scheme of Sampling
- 2.6. pps Sampling with Replacement
- 2.7. pps Sampling without Replacement
- 2.8. Selection Procedures for pps Sampling
- 3. Stratified sampling
- 3.1. Stratified Sampling
- 3.2. Estimation in Stratified Sampling
- 3. Optimum Allocation
- 3.4. Proportional Allocation
- 3.5. Comparison of Stratified Sampling with SRSWOR
- 3.6. Estimation of Gain in Efficiency from Stratified Sample
- 3.7. Estimation of a Proportion in Stratified Sampling
- 4. Systematic Sampling
- 4.1. Systematic Sampling
- 4.2. Estimation in Systematic Sampling
- 4.3. Comparison with SRSWOR
- 4.4. Comparison with Stratified Sampling
- 4.5. Comparison of Systematic Sampling for Population with Linear Trends
- 4.6. Estimation of Sampling Variance
- 4.7. Systematic Sampling when N ≠ nk
- 4.8. Circular Systematic Sampling
- 5. Ratio Method of Estimation
- 5.1. Ratio Method of Estimation
- 5.2. Bias of Ratio Estimator
- 5.3. Approximate Variance of Ratio Estimator
- 5.4. Comparison with SRSWOR
- 5.5. Estimation of a Ratio
- 5.6. Conditions under which Ratio Estimator is the Best
- 5.7. Ratio Estimation in Stratified Sampling
- 5.8. Unbiased Ratio Type Estimator
- 5.9. Unbiased Ratio Estimator
- 5.10. Product Estimator
- 5.11. Multivariate Ratio Estimator
- 6. Egression Method of Estimation
- 6.1. Regression Method of Estimation
- 6.2. Bias and Variance of the Regression Estimator
- 6.3. Regression Estimator of the Population Total
- 6.4. Comparison with SRSWOR and Ratio Estimator
- 6.5. Regression Estimation in Stratified Sampling
- 6.6. Multivariate Regression Estimator
- 7. Cluster Sampling
- 7.1. Cluster Sampling
- 7.2. Estimation in Case of Equal Clusters
- 7.3. Efficiency of Cluster Sampling
- 7.4. Estimation of Efficiency
- 7.5. Optimum Size of Cluster Sampling
- 7.6. Estimation of a Proportion
- 7.7. Estimation in Case of Unequal Clusters
- 7.8. pps with Replacement
- 8. Sub-Sampling Two-Stage and Three-Stage Sampling
- 8.1. Sub-sampling
- 8.2. Two-stage Sampling - Equal First-stage Units
- 8.3. Comparison of Two-stage Sampling with One-stage Sam-pling
- 8.4. Optimum Values of n and m
- 8.5. Two-stage Sampling-unequal First-stage Units
- 8.6. Three-stage Sampling
- 8.7. Optimum Values of n, m, and p in Three-stage Sampling
- 9. Double Sampling
- 9.1. Double Sampling
- 9.2. Double Sampling for Ratio Estimation
- 9.3. Double Sampling for Difference Estimation
- 9.4. Double Sampling for Regression Estimation
- 9.5. Double Sampling for pps Estimation
- 9.6. Double Sampling for Unbiased Ratio Estimation
- 9.7. Successive Sampling
- 10. Non-Sampling Errors
- 10.1. Non-sampling Errors
- 10.2. Sources of Non-sampling Errors
- 10.3. Observational Errors
- 10.4. Estimation of the Variance
- 10.5. Optimum Value of the Number of Enumerators
- 10.6. Problem of Non-response
- Appendix. Table of Random Numbers
- References
- Index
