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Status已发表Published
TitleInfluential observation identification in the growth curve model with rao's simple covariance structure
Creator
Date Issued2002
Source PublicationCommunications in Statistics - Theory and Methods
ISSN0361-0926
Volume31Issue:5Pages:813-831
Abstract

In this paper we discuss the identification of influential observations in a growth curve model with Rao's simple covariance structure. Based on the generalized Cook-type distance and the volume of a confidence ellipsoid, a variety of influence measures are proposed in terms of the case-deletion technique. Also, the influence of observations on a linear combination of regression coefficients is considered. For illustration, a practical example is analyzed using the proposed approach. Copyright © 2002 by Marcel Dekker, Inc.

KeywordCase-deletion Confidence ellipsoid Cook-type distance Growth curve model Influential observation Statistical diagnostics
DOI10.1081/STA-120003654
URLView source
Indexed BySCIE
Language英语English
WOS Research AreaMathematics
WOS SubjectStatistics & Probability
WOS IDWOS:000175949800009
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/5049
CollectionResearch outside affiliated institution
Affiliation
Department of Mathematics, Centre for Medical Statistics, Keele University, Staffordshire ST5 5BG, United Kingdom
Recommended Citation
GB/T 7714
Pan, Jianxin. Influential observation identification in the growth curve model with rao's simple covariance structure[J]. Communications in Statistics - Theory and Methods, 2002, 31(5): 813-831.
APA Pan, Jianxin. (2002). Influential observation identification in the growth curve model with rao's simple covariance structure. Communications in Statistics - Theory and Methods, 31(5), 813-831.
MLA Pan, Jianxin."Influential observation identification in the growth curve model with rao's simple covariance structure". Communications in Statistics - Theory and Methods 31.5(2002): 813-831.
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