JMASM41: An alternative method for multiple linear model regression modeling, a technical combining of robust, bootstrap and fuzzy approach (SAS)
Research on modeling is becoming popular nowadays, there are several of analyses used in research for modeling and one of them is known as applied multiple linear regressions (MLR). To obtain a bootstrap, robust and fuzzy multiple linear regressions, an experienced researchers should be aware the...
Main Authors: | Wan Ahmad, Wan Muhamad Amir, Aleng, Nor Azlida, Awang Nawi, Mohamad Arif, Mohd Ibrahim, Mohamad Shafiq |
---|---|
Format: | Article |
Language: | English |
Published: |
Journal of Modern Applied Statistical Methods Inc
2016
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/72172/ http://irep.iium.edu.my/72172/ http://irep.iium.edu.my/72172/ http://irep.iium.edu.my/72172/1/An%20alternative%20Method%20for%20Multiple%20Linear%20Model%20Regression%20Modeling.pdf |
Similar Items
-
JMASM39: Algorithm for combining robust and bootstrap in multiple linear model regression
by: Wan Ahmad, Wan Muhamad Amir, et al.
Published: (2016) -
Comparison between fuzzy bootstrap weighted multiple linear regression and
multiple linear regression: a case study for oral cancer modelling
by: Mohd Ibrahim, Mohamad Shafiq, et al.
Published: (2018) -
JMASM37: Simple Response Surface
Methodology Using RSREG (SAS)
by: Wan Ahmad, Wan Muhamad Amir, et al.
Published: (2016) -
Statistical modeling via bootstrapping and weighted techniques based on variances
by: Wan Ahmad, Wan Muhamad Amir, et al.
Published: (2018) -
Proving the eficiency of Alternative Linear regression Model Based on Mean Square Error (MSE) and average width using aquaculture data
by: Awang Nawi, Mohamad Arif, et al.
Published: (2019)