Author(s):
1. Lovleen Kumar Grover:
Department of Mathematics, Guru Nanak Dev University, Amritsar, Punjab, India
2. Amanpreet Kaur:
Department of Mathematics, Guru Nanak Dev University, Amritsar, Punjab, India
Abstract:
In this paper, we improve the efficiency of Koyuncu et al (2014)’s estimator of population mean of sensitive variable by replacing Traditional Randomized response technique with Optional Randomized response technique as suggested by Gupta et al (2014). The mean square error of proposed estimator is obtained, up to first order of approximation, and is compared with mean square error of various existing estimators theoretically as well as numerically.
Page(s):
49-59
DOI:
DOI not available
Published:
Journal: Pakistan Journal of Statistics and Operation Research, Volume: 15, Issue: 1, Year: 2019
Keywords:
efficiency
,
mean square error
,
Auxiliary Variable
,
bias
,
Randomized response technique
,
simple random sampling without replacement
,
percent relative efficiency
,
sensitive study variable
References:
References are not available for this document.
Citations
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