An improved estimation in stratified random sampling

被引:11
|
作者
Solanki, Ramkrishna S. [1 ]
Singh, Housila P. [2 ]
机构
[1] Coll Agr Waraseoni Balaghat, Dept Math & Stat, Jnkvv Jabalpur 481331, Madhya Pradesh, India
[2] Vikram Univ, Sch Studies Stat, Ujjain, Madhya Pradesh, India
关键词
Auxiliary variate; Bias; Mean square error; Stratified random sampling; Study variate; RATIO ESTIMATORS; POPULATION; INFORMATION;
D O I
10.1080/03610926.2013.826367
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
The article suggests a class of estimators of population mean in stratified random sampling using auxiliary information with its properties. In addition, various known estimators/classes of estimators are identified as members of the suggested class. It has been shown that the suggested class of estimators under optimum condition performs better than the usual unbiased, usual combined ratio, usual combined regression, Kadilar and Cingi (2005), Singh and Vishwakarma (2006) estimators and the members belonging to the classes of estimators envisaged by Kadilar and Cingi (2003), Singh, Tailor et al. (2008), Singh et al. (2009), Singh and Vishwakarma (2010) and Koyuncu and Kadilar (2010).
引用
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页码:2056 / 2070
页数:15
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