Modified Maximum Likelihood Integrated Robust Ratio Estimator in Simple Random Sampling

被引：0
|
作者：
Ahmad, Azaz [1 ]
Sanaullah, Aamir [2 ]
Hanif, Muhammad [3 ]
机构：
[1] Natl Coll Business Adm & Econ, Dept Stat, Lahore, Pakistan
[2] COMSATS Univ Islambad, Dept Stat, Lahore Campus, Islamabad, Pakistan
[3] Natl Coll Business Adm & Econ, Lahore, Pakistan
来源：
PUNJAB UNIVERSITY JOURNAL OF MATHEMATICS | 2019年 / 51卷 / 03期
关键词：
Ratio estimator; modified maximum likelihood estimation; long tail symmetric family distribution; mean square error; REGRESSION; LOCATION;
D O I：
暂无
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
A new ratio estimator using proposed modified maximum likelihood estimator (MMLE) is suggested. The properties of the new ratio estimator with respect to robustness and efficiency are studied followed by various population models. The employment of proposed MMLE into ratio estimator yields robust estimates, which is very productive for non-normal data or the data contain outliers.
引用
收藏
页码：133 / 145
页数：13
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