Mathematical Programming Approach for Variable Selection in Discriminant Analysis: An Environmental Application

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DC Field	Value	Language
dc.contributor.author	ايمن ماجد نصار, أنور احمد صالح	-
dc.date.accessioned	2022-10-17T08:40:16Z	-
dc.date.available	2022-10-17T08:40:16Z	-
dc.date.issued	2019-10	-
dc.identifier.uri	http://localhost:8080/xmlui/handle/123456789/2247	-
dc.description.abstract	The environmental impact assessment of projects is based on several variables. It is desirable to select the most important variables needed for classifying any project in only one of three classes according to severity of possible environmental impact. In this study, the selection of variables in discriminant analysis between more than two groups using the Mathematical programming approach is applied to Egypt environmental impact assessment survey 2000 data to select the most important variables for classifying new projects in the true classes. The results are compared with those of the stepwise method. The comparison shows that according to the percent of correct classification, the Mathematical programming model is better than the stepwise method	en_US
dc.language.iso	en	en_US
dc.publisher	Journal of Engineering and Applied Sciences	en_US
dc.subject	Discriminant analysis	en_US
dc.subject	mixed integer programming	en_US
dc.subject	variable selection	en_US
dc.title	Mathematical Programming Approach for Variable Selection in Discriminant Analysis: An Environmental Application	en_US
Appears in Collections:	قسم العلوم العامة

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