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

  • Nadia Mushtaq Department of Statistics, Forman Christian College University, Lahore, Pakistan
Keywords: Variance estimation, multi-auxiliary variables, scrambled randomized response

Abstract

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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Author Biography

Nadia Mushtaq, Department of Statistics, Forman Christian College University, Lahore, Pakistan

Nadia Mushtaq received her MSc and MPhil degrees in Statistics from Quaid-i-Azam University Islamabad, Pakistan and PhD degree in Statistics from National College of Business administration & Economics Lahore, Pakistan. Dr. Mushtaq is currently working as an Assistant Professor at Forman Christian College Lahore, Pakistan. She has more than fifteen years of teaching/research experience at university. Her research interests include sampling techniques, Time series analysis and statistical data analysis using different statistical software such as: SPSS, SAS, Minitab, and R-Language. She published ten research papers in national and international Journals.

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Published
2021-06-14
Section
Articles