Simple Response Surface Methodology Using RSREG (SAS)

被引：0

作者：

Amir, Wan Muhammad ^{[1
]}

Mokhtar, Kasypi ^{[2
]}

Rahim, Hanafi A. ^{[2
]}

Shafiq, Mohamad ^{[3
]}

Aleng, Nor Azlida ^{[2
]}

Ali, Zalila ^{[4
]}

机构：

[1] Univ Sci Malaysia, Biostat, Kelantan, Malaysia

[2] Univ Malaysia, Terengganu, Malaysia

[3] Univ Sci Malaysia, Sch Dent Sci, Kelantan, Malaysia

[4] Univ Sci Malaysia, George Town, Malaysia

来源：

JOURNAL OF MODERN APPLIED STATISTICAL METHODS | 2016年 / 15卷 / 01期

关键词：

Multiple linear regression; response surface methodology;

D O I：

暂无

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

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.

引用

页码：855 / 867

页数：13

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