A general class of ratio-type estimators under super-population model

被引：0

作者：

Singh, GN ^{[1
]}

机构：

[1] Indian Sch Mines, Dept Appl Math, Dhanbad 826004, Bihar, India

来源：

BIOMETRICAL JOURNAL | 2000年 / 42卷 / 03期

关键词：

ratio estimation; super-population; bias; Mean Squared Error (MSE);

D O I：

10.1002/1521-4036(200007)42:3<363::AID-BIMJ363>3.0.CO;2-2

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

The problem of constructing classes of estimators for population mean has been widely discussed by various authors under design approach in sample surveys. An attempt by UPADHYAYA, SINGH, and VOS (1985) has been made to combine the usual mean and ratio estimator with suitable weights in order to define a general class of estimators. This paper is an attempt to study properties of the same estimator under super-population model. Optimum weights have also been proposed. Results have been supported with some numerical examples.

引用

页码：363 / 375

页数：13

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