ESTIMATION OF POPULATION VARIANCE IN LOG - PRODUCT TYPE ESTIMATORS UNDER DOUBLE SAMPLING SCHEME

被引：0

作者：

Mishra, Prabhakar ^{[1
]}

Singh, Rajesh ^{[1
]}

Khare, Supriya ^{[1
]}

机构：

[1] Banaras Hindu Univ, Inst Sci, Dept Stat, Varanasi, Uttar Pradesh, India

来源：

JOURNAL OF RELIABILITY AND STATISTICAL STUDIES | 2019年 / 12卷 / 02期

关键词：

Bias; Mean Square Error; Auxiliary information; Double Sampling; Unbiased Estimator; AUXILIARY; IMPROVEMENT; 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：

It is experienced that auxiliary information when suitably incorporated yields more efficient and precise estimates. Mishra et al. (2017) have introduced a log type estimator for estimating unknown population mean using ancillary information in simple random sampling. Here we propose an improved log-product type estimator for population variance under double sampling. Properties of the estimators are studied both mathematically and numerically.

引用

页码：11 / 20

页数：10

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