Local conditional influence
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AbstractThrough an investigation of normal curvature functions for influence graphs of a family of perturbed models, we develop the concept of local conditional influence. This concept can be used to study masking and boosting effects in local influence. We identify the situation under which the influence graph of the unperturbed model contains all the information on these effects. The linear regression model is used for illustration and it is shown that the concept developed is consistent with Lawrance's (1995) approach of conditional influence in Cook's distance.
All Author(s) ListPoon WY, Poon YS
Journal nameJournal of Applied Statistics
Year2007
Month1
Day1
Volume Number34
Issue Number8
PublisherROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
Pages997 - 1009
ISSN0266-4763
eISSN1360-0532
LanguagesEnglish-United Kingdom
Keywordscurvature function; linear regression; local conditional influence; masking; normal curvature
Web of Science Subject CategoriesMathematics; Statistics & Probability; STATISTICS & PROBABILITY

Last updated on 2021-15-01 at 23:52