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- W3206573605 abstract "Various diagnostic statistics have been proposed to help identify cases that markedly affect, or influence, the features of a fitted linear regression model. Once influential cases are found, decisions can be made regarding their worth in the model building process. Since a subject data set may contain both singly influential cases and influential multiple case subsets, the capability to assess the joint influence of cases is needed for a complete analysis. The aim of this work is to briefly review Cook’s distance measure for multiple cases, an effective diagnostic for this purpose, and present a method using it to search for influential multiple case subsets. The method is applied in two example analyses by way of a MINITAB Statistical Software macro." @default.
- W3206573605 created "2021-10-25" @default.
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- W3206573605 date "2003-06-01" @default.
- W3206573605 modified "2023-09-25" @default.
- W3206573605 title "Discovering Influential Cases in Linear Regression with Minitab (Peeking into Multidimensions with a Minitab Macro)" @default.
- W3206573605 hasPublicationYear "2003" @default.
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