Local influence assessment in the growth curve model with unstructured covariance

被引：16
|
作者：
Pan, JX
Fang, KT
vonRosen, D
机构：
[1] HONG KONG BAPTIST COLL,HONG KONG,HONG KONG
[2] YUNNAN UNIV,KUNMING 650091,PEOPLES R CHINA
[3] ACAD SINICA,INST APPL MATH,BEIJING 100080,PEOPLES R CHINA
[4] UPPSALA UNIV,DEPT MATH,S-75106 UPPSALA,SWEDEN
来源：
JOURNAL OF STATISTICAL PLANNING AND INFERENCE | 1997年 / 62卷 / 02期
关键词：
curvature; growth curve model; Hessian matrix; local influence; likelihood displacement; perturbation; statistical diagnostic;
D O I：
10.1016/S0378-3758(96)00194-2
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, a local influence approach is employed to assess adequacy of the growth curve model with an unstructured covariance, based on likelihood displacement. The Hessian matrix of the model is investigated in detail under an abstract perturbation scheme. For illustration, covariance-weighted perturbation is discussed and used to analyze two real-life biological data sets, which show that the criteria presented in this article are useful in practice. (C) 1997 Elsevier Science B.V.
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页码：263 / 278
页数：16
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