Assessing the Performance of Robust Penalized Regression Methods

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DC Field	Value	Language
dc.contributor.author	Abdul Wahid	-
dc.date.accessioned	2020-01-02T04:52:55Z	-
dc.date.available	2020-01-02T04:52:55Z	-
dc.date.issued	2016	-
dc.identifier.uri	http://hdl.handle.net/123456789/12596	-
dc.description.abstract	This thesis is concerned about multiple regression models, when a large number of explanatory variables are consider to explain the relationship between a response Y and a set of predictors X1; ::::;XP . In this thesis, we wish to consider other suitable procedures rather than common least squares. We shall be detecting in further thesis, these alternative model building methods can supply preferable prediction accuracy and model that is easy understandable	en_US
dc.language.iso	en	en_US
dc.publisher	Quaid-i-Azam University Islamabad	en_US
dc.subject	Statistics	en_US
dc.title	Assessing the Performance of Robust Penalized Regression Methods	en_US
dc.type	Thesis	en_US
Appears in Collections:	M.Phil

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