Data Gathering, Analysis and Protection of Privacy Through Randomized Response Techniques: Qualitative and Quantitative Human Traits
eBook - ePub

Data Gathering, Analysis and Protection of Privacy Through Randomized Response Techniques: Qualitative and Quantitative Human Traits

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  1. 544 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Data Gathering, Analysis and Protection of Privacy Through Randomized Response Techniques: Qualitative and Quantitative Human Traits

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About this book

Data Gathering, Analysis and Protection of Privacy through Randomized Response Techniques: Qualitative and Quantitative Human Traits tackles how to gather and analyze data relating to stigmatizing human traits. S.L. Warner invented RRT and published it in JASA, 1965. In the 50 years since, the subject has grown tremendously, with continued growth. This book comprehensively consolidates the literature to commemorate the inception of RR.- Brings together all relevant aspects of randomized response and indirect questioning- Tackles how to gather and analyze data relating to stigmatizing human traits- Gives an encyclopedic coverage of the topic- Covers recent developments and extrapolates to future trends

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Yes, you can access Data Gathering, Analysis and Protection of Privacy Through Randomized Response Techniques: Qualitative and Quantitative Human Traits by 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

Publisher
North Holland
Year
2016
Print ISBN
9780444635709
eBook ISBN
9780444635716
Topic
Mathematics
Subtopic
Probability & Statistics
Index
Mathematics

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Contributors
  6. Preface
  7. Chapter 1: Review of Certain Recent Advances in Randomized Response Techniques
  8. Chapter 2: The Background and Genesis of Randomized Response Techniques
  9. Chapter 3: How Randomized Response Techniques Need not Be Confined to Simple Random Sampling but Liberally Applicable to General Sampling Schemes
  10. Chapter 4: The Classical Randomized Response Techniques: Reading Warner (1965) and Greenberg et al. (1969) 50 Years Later
  11. Chapter 5: On the Estimation of Correlation Coefficient Using Scrambled Responses
  12. Chapter 6: Admissible and Optimal Estimation in Finite Population Sampling Under Randomized Response Models
  13. Chapter 7: A Mixture of True and Randomized Responses in the Estimation of the Number of People Having a Certain Attribute
  14. Chapter 8: Estimation of Complex Population Parameters Under the Randomized Response Theory
  15. Chapter 9: An Efficient Randomized Response Model Using Two Decks of Cards Under Simple and Stratified Random Sampling
  16. Chapter 10: Software for Randomized Response Techniques
  17. Chapter 11: Poststratification Based on the Choice of Use of a Quantitative Randomization Device
  18. Chapter 12: Variance Estimation in Randomized Response Surveys
  19. Chapter 13: Behavior of Some Scrambled Randomized Response Models Under Simple Random Sampling, Ranked Set Sampling and Rao–Hartley–Cochran Designs
  20. Chapter 14: Estimation of a Finite Population Variance Under Linear Models for Randomized Response Designs
  21. Chapter 15: Randomized Response and New Thoughts on Politz–Simmons Technique
  22. Chapter 16: Optional Randomized Response: A Critical Review
  23. Chapter 17: A Concise Theory of Randomized Response Techniques for Privacy and Confidentiality Protection
  24. Chapter 18: A Review of Regression Procedures for Randomized Response Data, Including Univariate and Multivariate Logistic Regression, the Proportional Odds Model and Item Response Model, and Self-Protective Responses
  25. Chapter 19: Eliciting Information on Sensitive Features: Block Total Response Technique and Related Inference
  26. Chapter 20: Optional Randomized Response Revisited
  27. Chapter 21: Measures of Respondent Privacy in Randomized Response Surveys
  28. Chapter 22: Cramer–Rao Lower Bounds of Variance for Estimating Two Proportions and Their Overlap by Using Two Decks of Cards
  29. Chapter 23: Estimating a Finite Population Proportion Bearing a Sensitive Attribute from a Single Probability Sample by Item Count Technique
  30. Chapter 24: Surveying a Varying Probability Adaptive Sample to Estimate Cost of Hospital Treatments of Sensitive Diseases by RR Data Gathering
  31. Chapter 25: Estimation of Means of Two Rare Sensitive Characteristics: Cramer–Rao Lower Bound of Variances
  32. Chapter 26: Estimating Sensitive Population Proportion by Generating Randomized Response Following Direct and Inverse Hypergeometric Distribution
  33. Chapter 27: Incredibly Efficient Use of a Negative Hypergeometric Distribution in Randomized Response Techniques
  34. Chapter 28: Comparison of Different Imputing Methods for Scrambled Responses
  35. Chapter 29: On an Indirect Response Model
  36. Index