A new regression type estimator with two auxiliary variables for single-phase sampling
Loading...
Date
2014
Authors
Tum, Everline Chemutai
Kung’u, John
Odongo, Leo
Journal Title
Journal ISSN
Volume Title
Publisher
Scientific Research Publishing
Abstract
In this paper, we have proposed an estimator of finite population mean using a new regression
type estimator with two auxiliary variables for single-phase sampling and investigated its finite
sample properties. An empirical study has been carried out to compare the performance of the
proposed estimator with the existing estimators that utilize auxiliary variables for finite population
mean. It has been found that the new regression type estimator with two auxiliary variables
for to be more efficient than mean per unit, ratio and product estimator and exponential ratio and
exponential product estimators and exponential ratio-product estimator
Description
Full Article
Keywords
Mean Squared Error, Auxiliary Variables, Exponential Ratio-Product Estimator, Regression Estimator
Citation
Open Journal of Statistics, 2014, 4, 789-796