Elements of Sampling Theory and Methods
Published on 3. June 1999
Book
Hardback
400 pages
978-0-13-743576-0 (ISBN)
Description
For courses in Statistical Sampling with an emphasis on theory. This book provides a presentation of sampling that balances theory with methodology and brings the discipline up to date with problems of current interest.
More details
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 183 mm
Width: 241 mm
Thickness: 24 mm
Weight
809 gr
ISBN-13
978-0-13-743576-0 (9780137435760)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Content
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
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