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Title of Thesis

Various Randomized Response Models In Survey Sampling

Author(s)

Zawar Hussain

Institute/University/Department Details
Department of Statistics / Quaid-i-Azam University Islamabad, Pakistan
Session
2009
Subject
Statistics
Number of Pages
282
Keywords (Extracted from title, table of contents and abstract of thesis)
Warners, Randomized, Various, Models, Survey, Sampling, Quantitative, Numerical, Estimators, Optimum, Logits

Abstract
Not Available

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1,914 KB
S. No. Chapter Title of the Chapters Page Size (KB)
1 0 CONTENTS

 

xiii
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2

1

INTRODUCTION AND LITERATURE SURVEY


1.1 Literature Survey on RRT and Related Work
1.2 Review of Quantitative RR Techniques

1
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3 2 ESTIMATION OF PROPORTION OF A SENSITIVE ATTRIBUTE


2.1 Technique Based on Warner’s RRT
2.2 Technique Based on Christofides’ RRT
2.3 Models Based on Kim and Warde (2005) RRT
2.4 Some Techniques Based on Kim and Warde (2005) RRT Assuming Unequal Probability Sampling
2.5 Conclusion

29
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4 3 RANDOMIZED RESPONSE TECHNIQUES FOR ESTIMATION OF MEAN OF A SENSITIVE QUANTITATIVE VARIABLE


3.1 Multiple Selections Technique (MST)
3.2 Model I
3.3 Model II
3.4 Efficiency Comparison
3.5 Generalized Quantitative RRT
3.6 Model I and Model II in Complex Survey Situations
3.7 Conclusion

81
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5 4 ALTERNATIVE ESTIMATION PROCEDURES USING RYU ET AL. (2005) RRT


4.1 Procedure 1
4.2 Estimation Procedures Based on Searls (1964)
4.3 Conclusion

117
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6 5 SIMULTANEOUS ESTIMATION OF TWO DEPENDENT CHARACTERISTICS


5.1 Procedure 1
5.2 Procedure II
5.3 Conclusion

132
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7 6 LOGIT ESTIMATION USING RANDOMIZED RESPONSE MODEL


6.1 Corstange’s (2004) Hidden Logits
6.2 Derivation of Hidden Logit Using Warner’s (1965) RRT
6.3 Comparison of Modified Hidden Logits with Ordinary Logits
6.4 Comparison in Terms of Protection
6.5 Choice of P
6.6 Conclusion

155
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8 7 BAYESIAN ANALYSIS USING MIXTURE AND SIMPLE PRIOR DISTRIBUTION


7.1 Bayesian Estimation of p Using Warner’s (1965) RRT
7.2 Bayesian Estimation of p Using Kim and Warde (2005) Mixed RRT
7.3 Bayesian Estimation of p Using RRT Based on Warner’s RRT
7.4 Conclusion

170
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9 8 REFERENCES AND APPENDIX

211


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