Robust estimation in generalized linear models: the density power divergence approach

The generalized linear model is a very important tool for analyzing real data in several application domains where the relationship between the response and explanatory variables may not be linear or the distributions may not be normal in all the cases. Quite often such real data contain a significa...

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Veröffentlicht in:	Test (Madrid, Spain) Jg. 25; H. 2; S. 269 - 290
Hauptverfasser:	Ghosh, Abhik, Basu, Ayanendranath
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2016 Springer Nature B.V
Schlagworte:	Cases (containers) Counting Data analysis Density Economics Estimators Finance Generalized linear models Insurance Logistics Management Mathematical models Mathematics and Statistics Original Paper Poisson distribution Regression Regression analysis Statistical Theory and Methods Statistics Statistics for Business Studies United States > US Logistic regression Generalized linear model Density power divergence Robustness 62F35 Poisson regression 62J12
ISSN:	1133-0686, 1863-8260
Online-Zugang:	Volltext
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