Robust estimation in generalized linear models: the density power divergence approach
نویسندگان
چکیده
منابع مشابه
Robust Estimation in Linear Regression Model: the Density Power Divergence Approach
The minimum density power divergence method provides a robust estimate in the face of a situation where the dataset includes a number of outlier data. In this study, we introduce and use a robust minimum density power divergence estimator to estimate the parameters of the linear regression model and then with some numerical examples of linear regression model, we show the robustness of this est...
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ژورنال
عنوان ژورنال: TEST
سال: 2015
ISSN: 1133-0686,1863-8260
DOI: 10.1007/s11749-015-0445-3