Selection of the ridge parameter using mathematical programming / Aya Rezk Allah Farag ; Supervised Ramadan Hamed , Ali Elhefnawy

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Aya Rezk Allah Farag

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TextLanguage: English Publication details: Cairo : Aya Rezk Allah Farag , 2012Description: 66 P. : 25cmOther title:

اختبار معلمة التل باستخدام البرمجة الرياضية [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: Ridge regression handles multicollinearity problems by introducing a biased parameter that is called ridge parameter ; it pulls the estimators away from zero as well as their standard errors in order to reach acceptable results . Selection of the ridge parameter was done using several subjective and objective techniques that are concerned with certain criteria

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Holdings
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.Ay.S (Browse shelf(Opens below))		Not for loan	01010110057532000
CD - Rom	مخـــزن الرســائل الجـــامعية - البدروم	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.03.01.M.Sc.2012.Ay.S (Browse shelf(Opens below))	57532.CD	Not for loan	01020110057532000

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

Ridge regression handles multicollinearity problems by introducing a biased parameter that is called ridge parameter ; it pulls the estimators away from zero as well as their standard errors in order to reach acceptable results . Selection of the ridge parameter was done using several subjective and objective techniques that are concerned with certain criteria

Issued also as CD

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