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Trends in Applied Sciences Research

Year: 2019 | Volume: 14 | Issue: 1 | Page No.: 1-6
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Authors

Tanveer Ahmad Tarray

Tanveer Ahmad Tarray

Housila Prasad Singh

Saadia Masood

Saadia Masood

Keywords

Research Article

An Endowed Randomized Response Model for Estimating a Rare Sensitive Attribute Using Poisson Distribution

Tanveer Ahmad Tarray Tanveer Ahmad Tarray's LiveDNA, Housila Prasad Singh and Saadia Masood Saadia Masood's LiveDNA
Background and Objective: The crux of this paper is to develop a new a distinct question randomized response model for estimating a rare sensitive attribute using Poisson distribution. Methodology: The equilibrium point of the model was investigated and a new stratified sampling and stratified sampling randomized response model is proposed. Results: It has suggested an unbiased estimator of the mean number of persons possessing the rare sensitive attribute in presence of the unknown proportion of persons possessing a rare unrelated attribute. The addressed issue is resolved by using Lagrange multipliers technique and the optimum allocation is acquired in the form of fuzzy numbers. Conclusion: Anew dexterous stratified randomized response model has been proposed and properties of the proposed randomized response model have been studied. Numerical it has shown that the suggested randomized response model is superior one.
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Tanveer Ahmad Tarray, Housila Prasad Singh and Saadia Masood, 2019. An Endowed Randomized Response Model for Estimating a Rare Sensitive Attribute Using Poisson Distribution. Trends in Applied Sciences Research, 14: 1-6.

URL: https://scialert.net/abstract/?doi=tasr.2019.1.6

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