A mathematical programming approach to variable selection in clusterwise linear regression / Eman Ismail Mahmoud Hussien ; Supervised Ramadan Hamed , Ali Elhefnawy

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Eman Ismail Mahmoud Hussien

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TextLanguage: English Publication details: Cairo : Eman Ismail Mahmoud Hussien , 2012Description: 76 P. ; 25cmOther title:

أسلوب البرمجة الرياضية لاختيار المتغيرات في الانحدار العنقودى [Added title page title]

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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Economics and Political Science - Department of Statistics Summary: Researchers often need to fit regression models to data that may not be homogenous with respect to the variables involved. The clusterwise regression model has provided a technique to partition the data into homogenous clusters and perform regression analysis within each cluster in a simultaneous manner

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Item type	Current library	Home library	Call number	Copy number	Status	Barcode
Thesis	قاعة الرسائل الجامعية - الدور الاول	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.03.01.M.Sc.2012.Em.M (Browse shelf(Opens below))		Not for loan	01010110058258000
CD - Rom	مخـــزن الرســائل الجـــامعية - البدروم	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.03.01.M.Sc.2012.Em.M (Browse shelf(Opens below))	58258.CD	Not for loan	01020110058258000

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Thesis (M.Sc.) - Cairo University - Faculty of Economics and Political Science - Department of Statistics

Researchers often need to fit regression models to data that may not be homogenous with respect to the variables involved. The clusterwise regression model has provided a technique to partition the data into homogenous clusters and perform regression analysis within each cluster in a simultaneous manner

Issued also as CD

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