Multiple cases deletion measures in linear measurement error models

被引：0

作者：

Zare, Karim ^{[1
]}

机构：

[1] Islamic Azad Univ, Marvdasht Branch, Dept Stat, Marvdasht, Iran

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2019年 / 48卷 / 04期

关键词：

Corrected score method; Influential observations; LMEM; multiple cases deletion; IN-VARIABLES; INFLUENTIAL SUBSETS; REGRESSION;

D O I：

10.1080/03610926.2017.1422758

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 paper, we define a multiple cases deletion model (MCDM) in linear measurement error models (LMEMs). Then, by using the corrected score method of Nakamura (1990), the estimation of parameters is obtained. Furthermore, Based on MCDM, we provide computationally inexpensive deletion diagnostic tools for LMEMs. An example illustrates that our method is useful for diagnosing influential subsets of observations.

引用

页码：954 / 963

页数：10

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