An Improved Two-stage Stratified Randomized Response Model for Estimating Sensitive Proportion

An Improved Two-stage Stratified Randomized Response Model for Estimating Sensitive Proportion

This article is about making correction in Tarray, Singh, and Zaizai model and further improving it when stratified random sampling is necessary. This is done by using optional randomized response technique in stratified sampling using a combination of Mangat and Singh, Mangat, and Greenberg et al....

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Veröffentlicht in:Sociological methods & research 2022-08, Vol.51 (3), p.1413-1441
Hauptverfasser: Hussain, Zawar, Cheema, Salman Arif, Hussain, Ishtiaq
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Comparative Analysis
Efficiency
Evaluation Methods
Questionnaires
Random sampling
Responses
Sampling
Surveys
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Hussain, Ishtiaq
description This article is about making correction in Tarray, Singh, and Zaizai model and further improving it when stratified random sampling is necessary. This is done by using optional randomized response technique in stratified sampling using a combination of Mangat and Singh, Mangat, and Greenberg et al. models. The suggested model has been studied assuming proportional and Neyman allocation schemes. Numerical results show larger gains in efficiency. Through a detailed numerical study, it is established that the suggested model is relatively more efficient than the Kim and Warde model and the models mentioned above.
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subjects Comparative Analysis
Efficiency
Evaluation Methods
Questionnaires
Random sampling
Responses
Sampling
Surveys
title An Improved Two-stage Stratified Randomized Response Model for Estimating Sensitive Proportion
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