Respondents to survey questions involving sensitive information, such as sexual behavior, illegal drug usage, tax evasion, and income, may refuse to answer the questions or provide untruthful answers to protect their privacy. This creates a challenge in drawing valid inferences from potentially inaccurate data. Addressing this difficulty, non-rando
eBook - PDF
Incomplete Categorical Data Design
Non-Randomized Response Techniques for Sensitive Questions in Surveys
- 316 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Incomplete Categorical Data Design
Non-Randomized Response Techniques for Sensitive Questions in Surveys
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Table of contents
- Front Cover
- Contents
- Preface
- CHAPTER 1: Introduction
- CHAPTER 2: The Crosswise Model
- CHAPTER 3: The Triangular Model
- CHAPTER 4: Sample Sizes for the Crosswise and Triangular Models
- CHAPTER 5: The Multi-category Triangular Model
- CHAPTER 6: The Hidden Sensitivity Model
- CHAPTER 7: The Parallel Model
- CHAPTER 8: Sample Size Calculationfor the Parallel Model
- CHAPTER 9: The Multi-category Parallel Model
- CHAPTER 10: A Variant of the Parallel Model
- CHAPTER 11: The Combination Questionnaire Model
- APPENDIX A: The EM and DA Algorithms
- APPENDIX B: The Exact IBF Sampling
- APPENDIX C: Some Statistical Distributions
- List of Figures
- List of Tables
- References
- Back Cover
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Yes, you can access Incomplete Categorical Data Design by Guo-Liang Tian,Man-Lai Tang in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over 1.5 million books available in our catalogue for you to explore.