Logistic discrimination using robust estimators: An influence function approach
نویسندگان
چکیده
منابع مشابه
Logistic discrimination using robust estimators
Logistic regression is frequently used for classifying observations into two groups. Unfortunately there are often outlying observations in a data set, who might affect the estimated model and the associated classification error rate. In this paper, the effect of observations in the training sample on the error rate is studied by computing influence functions. It turns out that the usual influe...
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ژورنال
عنوان ژورنال: Canadian Journal of Statistics
سال: 2008
ISSN: 0319-5724,1708-945X
DOI: 10.1002/cjs.5550360114