Elements of Sampling Theory and Methods / Edition 1 available in Paperback
- Pub. Date:
This book provides a presentation of sampling that balances theory and methods while bringing the discipline up to date through problems of current interest. Provides a concise presentation of sampling within a wide range of topics. At the same time, it presents current topics and modern developments in sampling. Among these are varying probability (with and without replacement), Bayesian sampling, the Jack knife and Boot strap methods, Small area estimation, and Imputation methods. The book also provides worked out examples pertaining to a variety of disciplines and problems with real or artificial data pertaining to current problems. An important resource for professional statisticians and researchers.ÿ
|Edition description:||New Edition|
|Product dimensions:||7.25(w) x 9.62(h) x 1.00(d)|
Table of Contents
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