Double Exponential Ratio Estimator of a Finite Population Variance under Extreme Values in Simple Random Sampling

Double Exponential Ratio Estimator of a Finite Population Variance under Extreme Values in Simple Random Sampling

This article presents an improved class of efficient estimators aimed at estimating the finite population variance of the study variable. These estimators are especially useful when we have information about the minimum/maximum values of the auxiliary variable within a framework of simple random sam...

Full description

Bibliographic Details
Main Authors: Umer Daraz, Jinbiao Wu, Olayan Albalawi
Format: Article
Language:English
Published: MDPI AG 2024-06-01
Series:Mathematics
Subjects:
auxiliary information
study variable
minimum and maximum values
variance estimation
bias
<i>MSE</i>
Online Access:https://www.mdpi.com/2227-7390/12/11/1737

Internet

https://www.mdpi.com/2227-7390/12/11/1737

Similar Items