Survey Sampling Theory and Applications
eBook - ePub

Survey Sampling Theory and Applications

  1. 930 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Survey Sampling Theory and Applications

About this book

Survey Sampling Theory and Applications offers a comprehensive overview of survey sampling, including the basics of sampling theory and practice, as well as research-based topics and examples of emerging trends. The text is useful for basic and advanced survey sampling courses. Many other books available for graduate students do not contain material on recent developments in the area of survey sampling. The book covers a wide spectrum of topics on the subject, including repetitive sampling over two occasions with varying probabilities, ranked set sampling, Fays method for balanced repeated replications, mirror-match bootstrap, and controlled sampling procedures. Many topics discussed here are not available in other text books. In each section, theories are illustrated with numerical examples. At the end of each chapter theoretical as well as numerical exercises are given which can help graduate students. - Covers a wide spectrum of topics on survey sampling and statistics - Serves as an ideal text for graduate students and researchers in survey sampling theory and applications - Contains material on recent developments in survey sampling not covered in other books - Illustrates theories using numerical examples and exercises

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Yes, you can access Survey Sampling Theory and Applications by Raghunath Arnab in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Dedication
  6. Preface
  7. Acknowledgments
  8. Chapter 1. Preliminaries and Basics of Probability Sampling
  9. Chapter 2. Unified Sampling Theory: Design-Based Inference
  10. Chapter 3. Simple Random Sampling
  11. Chapter 4. Systematic Sampling
  12. Chapter 5. Unequal Probability Sampling
  13. Chapter 6. Inference Under Superpopulation Model
  14. Chapter 7. Stratified Sampling
  15. Chapter 8. Ratio Method of Estimation
  16. Chapter 9. Regression, Product, and Calibrated Methods of Estimation
  17. Chapter 10. Two-Phase Sampling
  18. Chapter 11. Repetitive Sampling
  19. Chapter 12. Cluster Sampling
  20. Chapter 13. Multistage Sampling
  21. Chapter 14. Variance/Mean Square Estimation
  22. Chapter 15. Nonsampling Errors
  23. Chapter 16. Randomized Response Techniques
  24. Chapter 17. Domain and Small Area Estimation
  25. Chapter 18. Variance Estimation: Complex Survey Designs
  26. Chapter 19. Complex Surveys: Categorical Data Analysis
  27. Chapter 20. Complex Survey Design: Regression Analysis
  28. Chapter 21. Ranked Set Sampling
  29. Chapter 22. Estimating Functions
  30. Chapter 23. Estimation of Distribution Functions and Quantiles
  31. Chapter 24. Controlled Sampling
  32. Chapter 25. Empirical Likelihood Method in Survey Sampling
  33. Chapter 26. Sampling Rare and Mobile Populations
  34. Author Index
  35. Subject Index