Theory and methods of survey sampling
Parimal Mukhopadhyay
- 2nd ed.
- Delhi PHI learning 2024
- xvi, 563 P.B
CONTENTS Preface • Preface to the First Edition 1. The Basic Concepts 2. Simple Random Sampling 3. Stratified Random Sampling 4. Ratio Estimator 5. Difference Estimator and Regression Estimator 6. Systematic Sampling 7. Cluster Sampling 8. Probability Proportional to Size with Replacement Sampling 9. Varying Probability without Replacement Sampling I 10. Varying Probability without Replacement Sampling II 11. Multistage Sampling 12. Multiphase Sampling 13. Sampling on Successive Occasions 14. Some Problems of Inference under a Fixed Population Set-up 15. Inference from a Finite Population Using the Prediction-Theoretic Approach 16. Errors in Surveys 17. Randomised Response Techniques 18. Small Area Estimation 19. Nonparametric Methods of Variance Estimation 20. Analysis of Complex Surveys Appendix Random Numbers and Permutations Answers to Selected Exercises Author Index • Subject Index