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OUTLIER DIAGNOSTICS IN TIME SERIES ANALYSIS
Author(s) -
Ledolter Johannes
Publication year - 1990
Publication title -
journal of time series analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.576
H-Index - 54
eISSN - 1467-9892
pISSN - 0143-9782
DOI - 10.1111/j.1467-9892.1990.tb00060.x
Subject(s) - mathematics , outlier , perturbation (astronomy) , time series , statistics , measure (data warehouse) , econometrics , series (stratigraphy) , data mining , computer science , paleontology , physics , quantum mechanics , biology
. Cook's likelihood displacement is a convenient measure of the impact of a model perturbation on parameter estimates. A commonly used model perturbation in regression is the deletion of a case , or equation. A natural model perturbation in the time series context is the deletion of an observation , or a group of observations. Diagnostics that measure the impact of individual observations on the time series estimates are explored in this paper. A diagnostic that compares the estimates of the innovation variance with and without a particular observation is studied in detail.
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