Variance Estimation Procedure Using Scrambled Responses and Multi-Auxiliary Variables In Multi-Phase Sampling | Zendy

Nadia Mushtaq | Zendy

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Variance Estimation Procedure Using Scrambled Responses and Multi-Auxiliary Variables In Multi-Phase Sampling

Author(s) -

Nadia Mushtaq

Publication year - 2021

Publication title -

journal of reliability and statistical studies

Language(s) - English

Resource type - Journals

eISSN - 2229-5666

pISSN - 0974-8024

DOI - 10.13052/jrss0974-8024.14110

Subject(s) - estimator , variance (accounting) , statistics , population variance , mathematics , estimation , sampling (signal processing) , population , variable (mathematics) , population mean , exponential function , computer science , engineering , medicine , mathematical analysis , accounting , systems engineering , filter (signal processing) , environmental health , business , computer vision

Variations in the population can be estimated by variance estimation. In this study, we consider variance estimation procedure using scrambled randomized response for sensitive variable using multi-auxiliary variables in multi-phase sampling. Under Noor-ul-Amin et al. (2018) RRT model, generalized exponential regression type estimator for case-1and case-2 are derived. A simulation study is presented to illustrate the application and computational details. It is observed that proposed model showed better results under both cases.

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