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
收藏
页码：11 / 20
页数：10
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