Advanced sampling methods

Advanced sampling methods / Raosaheb Latpate, Jayant Kshirsagar, Vinod Kumar Gupta, Girish Chandra.

This book discusses all major topics on survey sampling and estimation. It covers traditional as well as advanced sampling methods related to the spatial populations. The book presents real-world applications of major sampling methods and illustrates them with the R software. As a large sample size...

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Bibliographic Details
Main Authors: Latpate, Raosaheb (Author), Kshirsagar, Jayant (Author), Kumar Gupta, Vinod (Author), Chandra, Girish (Author)
Format: eBook
Language:English
Published: Singapore : Springer, 2021.
Subjects:
Sampling (Statistics)
Online Access:Click for online access
Table of Contents:
  • 1. Introduction
  • 2. Simple Random Sampling
  • 3. Stratied Random Sampling
  • 4. Cluster Sampling
  • 5. Double Sampling
  • 6. Probability Proportional to Size Sampling
  • 7. Systematic Sampling
  • 8. Resampling Techniques
  • 9. Adaptive Cluster Sampling
  • 10. Two-Stage Adaptive Cluster Sampling
  • 11. Adaptive Cluster Double Sampling
  • 12. Inverse Adaptive Cluster Sampling
  • 13. Two Stage Inverse Adaptive Cluster Sampling
  • 14. Stratified Inverse Adaptive Cluster Sampling
  • 15. Negative Adaptive Cluster Sampling
  • 16. Negative Adaptive Cluster Double Sampling
  • 17. Two- Stage Negative Adaptive Cluster Sampling
  • 18. Balanced and Unbalanced Ranked Set Sampling
  • 19. Ranked Set Sampling in Other Parameter Estimation and Non-Parametric Inference
  • 20. Important Versions of Ranked Set Sampling
  • 21. Sampling Errors.

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