Separate Ratio-type Estimators of Population Mean in Stratified Random Sampling
Journal of Modern Applied Statistical Methods2014Vol. 13(1), pp. 223–233
Citations Over TimeTop 20% of 2014 papers
Abstract
Separate ratio-type estimators for population mean with their properties are considered. Some separate ratio-type estimators for population mean using known parameters of auxiliary variate are proposed. The bias and mean squared error of the proposed estimators are obtained up to the first degree of approximation. It is shown that the proposed estimators are more efficient than unbiased estimators in stratified random sampling and usual separate ratio estimators under certain obtained conditions. To judge the merits of the proposed estimators, an empirical study was conducted.
Related Papers
- → Some Improved Classes of Estimators in Stratified Sampling Using Bivariate Auxiliary Information(2022)8 cited
- Modified Ratio and Product Estimators for Estimating Population Mean in Two-Phase Sampling(2016)
- → A Combined Family of Ratio Estimators for Population Mean using an Auxiliary Variable in Simple Random Sampling(2019)12 cited
- Improvement in Estimating Population Mean using Two Auxiliary Variables in Two-Phase Sampling(2010)
- Efficient Estimation Procedure of Finite Population Mean Using Supplementary Information in Stratified Random Sampling(2020)