Author(s):
1. Nadia Mushtaq:
National College of Business Administration and Economics Lahore,Pakistan
2. Muhammad Hanif:
National College of Business Administration and Economics Lahore,Pakistan.
3. Muhammad Noor-ul-Amin:
COMSATS Institute of Information and Technology,Lahore Pakistan.
Abstract:
In this article, a combined general family of estimators is proposed for estimating finite population mean of a sensitive variable in stratified random sampling with non-sensitive auxiliary variable based on randomized response technique. Under stratified random sampling without replacement scheme, the expression of bias and mean square error (MSE) up to the first-order approximations are derived. Theoretical and empirical results through a simulation study show that the proposed class of estimators is more efficient than the existing estimators, i.e., usual stratified random sample mean estimator, Sousa et al (2014) ratio and regression estimator of the sensitive variable in stratified sampling.
Page(s):
141-155
DOI:
DOI not available
Published:
Journal: Pakistan Journal of Statistics and Operation Research, Volume: 13, Issue: 1, Year: 2017
Keywords:
sensitive variable
,
Randomized Response Technique
,
Stratified random sampling
References:
References are not available for this document.
Citations
Citations are not available for this document.