JMASM37: Simple Response Surface Methodology Using RSREG (SAS)
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.
Main Authors: | Wan Ahmad, Wan Muhamad Amir, Mohd Ibrahim, Mohamad Shafiq, Mokhtar, Kasypi, Aleng, Nor Azlida, A. Rahim, Hanafi, Ali, Zalila |
---|---|
Format: | Article |
Language: | English |
Published: |
Journal of Modern Applied Statistical Methods Inc
2016
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/72173/ http://irep.iium.edu.my/72173/ http://irep.iium.edu.my/72173/ http://irep.iium.edu.my/72173/1/Simple%20Response%20Surface%20Methodology%20Using%20SAS_2.pdf |
Similar Items
-
JMASM41: An alternative method for multiple linear model regression modeling, a technical
combining of robust, bootstrap and fuzzy approach (SAS)
by: Wan Ahmad, Wan Muhamad Amir, et al.
Published: (2016) -
JMASM39: Algorithm for combining robust and bootstrap in multiple linear model regression
by: Wan Ahmad, Wan Muhamad Amir, et al.
Published: (2016) -
Using decision tree and response surface methodology to review chronic periodontitis profile in Pakistan: A preliminary case study
by: Wan Ahmad, Wan Muhamad Amir, et al.
Published: (2018) -
Modified zero inflated poisson regression analysis and its application to public health data
by: Wan Ahmad, Wan Muhamad Amir, et al.
Published: (2019) -
Basic concepts in biostatistics with step by step in SPSS
by: Aleng, Nor Azlida, et al.
Published: (2019)