Author(s):
1. Muhammad Shahzad Chaudhry:
Department of Statistics, Government College University,Lahore,Pakistan
2. Muhammad Hanif:
National College of Business Administration & Economics,Lahore,Pakistan
Abstract:
In this paper, the product and exponential product estimators have been proposed for estimating the population mean using population mean of an auxiliary variable, when there is negative correlation between the variables, under adaptive cluster sampling (ACS) design. The expressions for mean squared error (MSE) and bias of the proposed estimators have been derived. Two simulated populations are used and simulation studies have been conceded out to reveal and match the efficiencies of the estimators. The proposed estimators have been matched with conventional estimators and estimators in ACS. The simulation results showed that the proposed product and exponential product estimators are more efficient as compare to conventional as well as Hansen-Hurwitz and ratio estimators in ACS.
Page(s):
447-457
DOI:
DOI not available
Published:
Journal: Proceedings of the Pakistan Academy of Sciences: A. Physical and Computational Sciences, Volume: 53, Issue: 4, Year: 2016
Keywords:
Transformed Population
,
Expected Final Sample Size
,
Simulated Population
,
Auxiliary information
,
negative correlation
,
comparable variance
,
estimated relative bias
,
bivariate normal distribution
References:
References are not available for this document.
Citations
Citations are not available for this document.