Artículos relacionados a Multinomial Logistic Regression with Fuzzy Parameters

Multinomial Logistic Regression with Fuzzy Parameters - Tapa blanda

Abdalla, Hesham A.; El-Sayed, Amany A.; Hamed, Ramadan

 
9783659832550: Multinomial Logistic Regression with Fuzzy Parameters
Tapa blanda
ISBN 10: 3659832553 ISBN 13: 9783659832550
Editorial: LAP LAMBERT Academic Publishing, 2016

Sinopsis

Two new developed multinomial logistic regression approach is proposed by incorporating the concepts of fuzzy sets. The first is formulated using a goal programming approach, while the second is formulated as a multi objective programming model. These two models are based on the assumption that the parameters are fuzzy. A simulation study is used to evaluate the suggested models comparing to the classical approach. Data are generated from different multinomial logistic models The design of the simulation study considers 40 different combinations of three factors. For each combination, a comparison between the performance of the proposed approach and ML approach is presented.

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Acerca del autor

Dr Hesham A. Abdalla is Assistant Professor, Department of Statistics and Insurance, Assiut University,Assiut, Egypt. He has a Ph.D. in Operation Research-Cairo university.Dr Amany A. El-Sayed is Assistant Prof. of StatisticsFaculty of Commerce,Sohag University.Prof Ramadan Hamed is a professor of Statistics, Cairo University.

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Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2016
Idioma
Inglés
ISBN 10 
3659832553
ISBN 13 
9783659832550
Encuadernación
Tapa blanda
Número de páginas
124
Contacto del fabricante
no disponible
Persona responsable
no disponible