COMPARISON OF SOME LINEAR CALIBRATION ESTIMATORS

被引：3

作者：

TRACY, DS ^{[1
]}

SRIVASTAVA, VK ^{[1
]}

机构：

[1] UNIV LUCKNOW, DEPT STAT, LUCKNOW 226007, UTTAR PRADESH, INDIA

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 1990年 / 19卷 / 06期

关键词：

Asumptotically unbiased estimaton; linear calibration estimators small disturbance asymptoticexpressions;

D O I：

10.1080/03610929008830320

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：

In this article, we consider a family of linear calibration estimators arising from inverse estimator and analyze its properties employing the small disturbance asymptotic theory. The asymptotic approximations for bias and mean squared error of this family are compared with the corresponding results for classical and inverse estimators, whose properties are also compared. © 1990, Taylor & Francis Group, LLC. All rights reserved.

引用

页码：2281 / 2293

页数：13

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