Simple Response Surface Methodology Using RSREG (SAS)

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DC Field	Value	Language
dc.contributor.author	Wan Muhamad, Amir	-
dc.contributor.author	Mohamad, Shafiq	-
dc.contributor.author	Kasypi, Mokhtar	-
dc.contributor.author	Nor Azlida, Aleng	-
dc.contributor.author	Hanafi A., Rahim	-
dc.date.accessioned	2017-05-04T08:14:16Z	-
dc.date.available	2017-05-04T08:14:16Z	-
dc.date.issued	2016-05-01	-
dc.identifier.citation	Vol.15 (1) ; 855-867 p.	en_US
dc.identifier.issn	13589472	-
dc.identifier.uri	http://hdl.handle.net/123456789/5920	-
dc.description.abstract	Response surface methodology (RSM) can be used when the response variable, y, is influenced by several variables, x’s. When treatments take the form of quantitative values, then the true relationship between response variables and independent variables might be known. Examples are given in SAS	en_US
dc.language.iso	en	en_US
dc.publisher	Journal of Modern Applied Statistical Methods	en_US
dc.subject	Multiple Linear Regression	en_US
dc.subject	Response Surface Methodology	en_US
dc.title	Simple Response Surface Methodology Using RSREG (SAS)	en_US
dc.type	Article	en_US
Appears in Collections:	Journal Articles

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J2016-385-Simple Response Surface Methodology Using SAS_2.pdf	JMASM Algorithms and Code	1.28 MB	Adobe PDF	View/Open

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