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Multinomial Logistic Regression with Fuzzy Parameters

Name: Multinomial Logistic Regression with Fuzzy Parameters
Brand: LAP Lambert Academic Publishing
SKU: 02943017
Price: 51.19 EUR
Availability: InStock
Author: Hesham A. Abdalla
ISBN: 9783659832550

Hesham A. Abdalla

Amany A. El-Sayed

Ramadan Hamed

Language

English

Book Paperback

Libristo code: 02943017

Publishers LAP Lambert Academic Publishing, February 2016

Two new developed multinomial logistic regression approach is proposed by incorporating the concepts... Full description

Libristo code: 02943017

125 b

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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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About the book

Full name Multinomial Logistic Regression with Fuzzy Parameters

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

Language

English

Binding Book - Paperback

Date of issue 2016

Number of pages 124

EAN 9783659832550

Libristo code 02943017

Publishers LAP Lambert Academic Publishing

Weight 203

Dimensions 150 x 220 x 7

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