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On optional randomized response techniques in survey sampling
| Title: | On optional randomized response techniques in survey sampling |
|---|---|
| Authors: | Pushadapu, Kavya |
| Publisher Information: | Texas A&M University-Kingsville |
| Publication Year: | 2022 |
| Collection: | Texas A&M University-Kingsville: AKM Digital Repository |
| Subject Terms: | Statistics, Sampling (Statistics) -- Computer programs, Modeling languages (Computer Science), Mathematics, Surveys, Statistical analytics, computing and modeling |
| Description: | In this thesis, we considered the problem of estimation of proportion of a sensitive characteristic using a randomization device that allows interviewees to answer directly or indirectly to a sensitive question. This method is called an optional randomized response technique. An attempt is made to suggest an optimal optional randomized response estimator, for which the bias and variance expressions are derived, and the efficiency of the optimal estimator is investigated through simulation study using SAS coding. Additionally, the suggested approach is applied to COVID-19. In addition, we made a new optional randomized response technique for estimating prevalence of two sensitive characteristics and their overlap in a population. Estimators are proposed, and the variance expressions are derived, and estimators of variances are suggested, and analytical and empirical comparisons are investigated thoroughly. |
| Document Type: | other/unknown material |
| File Description: | pdf; 1,715,095 bytes |
| Language: | English |
| Relation: | http://cdm16771.contentdm.oclc.org/u?/p16771coll2,1195 |
| Availability: | http://cdm16771.contentdm.oclc.org/u?/p16771coll2,1195 |
| Rights: | The right to download or print any of the pages of this thesis (Material) is granted by the copyright owner only for personal or classroom use. The author retains all proprietary rights, including copyright ownership. Any reproduction or editing or other use of this Material by any means requires the express written permission of the copyright owner. Except as provided above, or any use beyond what is allowed by fair use (Title 17 Section 107 U.S.C.), you may not reproduce, republish, post, transmit or distribute any Material from this web site in any physical or digital form without the permission of the copyright owner of the Material. Inquiries regarding any further use of these materials should be addressed to Administration, Jernigan Library, Texas A&M University-Kingsville, 700 University Blvd. Kingsville, Texas 78363-8202, (361)593-3416. |
| Accession Number: | edsbas.F3549F17 |
| Database: | BASE |
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