Log-Product-Type Estimator for Estimation of Population Variance Using Auxiliary Information

被引：0

作者：

Mishra, Prabhakar ^{[1
]}

Sharma, Ashish ^{[2
]}

Adichwal, Nitesh Kumar ^{[3
]}

Rai, Sakshi ^{[1
]}

Singh, Rajesh ^{[1
]}

机构：

[1] Banaras Hindu Univ, Dept Stat, Varanasi, India

[2] UPES Univ, Sch Business, Dehra Dun, India

[3] IILM Univ, Sch Management, Greater Noida, Uttar Pradesh, India

来源：

THAILAND STATISTICIAN | 2024年 / 22卷 / 03期

关键词：

Auxiliary variable; variance; SRSWOR; mean square error; bias; RATIO;

D O I：

暂无

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

This paper proposed a log product type estimator for estimating population variance under simple random sampling without replacement (SRSWOR) using auxiliary information. We have calculated the mean square error (MSE) and bias expressions up to the first order of approximation. To substantiate the result, an empirical study has been performed using three real population data sets. The properties of the estimators also verified through simulation study. The result shows that the performance of the proposed estimator is better than the existing estimators.

引用

页码：610 / 617

页数：8

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