Elements of sampling theory and methods
Z. Govindarajulu
Abstract
Z. Govindarajulu
Abstract
1. Preliminaries. 2. Varying Probability Sampling. 3. Simple Random Sampling. 4. Estimation of the Sample Size. 5. Stratified Sampling. 6. Ratio Estimators. 7. Regression Estimators. 8. Systematic Sampling. 9. Cluster Sampling. 10. Varying Probability Sampling: Without Replacement. 11. Two-Phase and Repetitive Sampling. 12. Two Stage Sampling. 13. Non-Sampling Errors. 14. Bayesian Approach for Inference in Finite Populations. 15. The Jackknife Method. 16. The Bootstrap Method. 17. Small Area Estimators. 18. Imputation Methods. Answers to Selected Problems List of Cumulative References Author Index Subject Index
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1. Preliminaries. 2. Varying Probability Sampling. 3. Simple Random Sampling. 4. Estimation of the Sample Size. 5. Stratified Sampling. 6. Ratio Estimators. 7. Regression Estimators. 8. Systematic Sampling. 9. Cluster Sampling. 10. Varying Probability Sampling: Without Replacement. 11. Two-Phase and Repetitive Sampling. 12. Two Stage Sampling. 13. Non-Sampling Errors. 14. Bayesian Approach for Inference in Finite Populations. 15. The Jackknife Method. 16. The Bootstrap Method. 17. Small Area Estimators. 18. Imputation Methods. Answers to Selected Problems List of Cumulative References Author Index Subject Index
Key concepts: Poisson sampling, Cluster sampling, Jackknife resampling, Statistics, Simple random sample, Stratified sampling, Sampling (signal processing), Estimator