Title of article
Robust binary regression
Author/Authors
Hosseinian، نويسنده , , Sahar and Morgenthaler، نويسنده , , Stephan، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2011
Pages
13
From page
1497
To page
1509
Abstract
Robust procedures increase the reliability of the results of a data analysis. We studied such a robust procedure for binary regression models based on the criterion of least absolute deviation. The resulting estimating equation consists in a simple modification of the familiar maximum likelihood equation. This estimator is easy to compute with existing computational procedures and gives a high degree of protection.
Keywords
Robustness , logistic model , Generalized linear model , Bounded influence function , Maximum likelihood
Journal title
Journal of Statistical Planning and Inference
Serial Year
2011
Journal title
Journal of Statistical Planning and Inference
Record number
2221281
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