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Diagnostic Measures in Ridge Regression Model with AR(1) Errors under the Stochastic Linear Restrictions
Outliers and influential observations have important effects on the regression analysis. The goal of this paper is to extend the mean-shift model for detecting outliers in case of ridge regression model in the presence of stochastic linear restrictions when the error terms follow by an autoregressive AR(1) process. Furthermore, extensions of measures for diagnosing influential observations are ...
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ژورنال
عنوان ژورنال: ACM Transactions on Knowledge Discovery from Data
سال: 2007
ISSN: 1556-4681,1556-472X
DOI: 10.1145/1267066.1267067