Proving the eficiency of Alternative Linear regression Model Based on Mean Square Error (MSE) and average width using aquaculture data
Multiple linear regressions (MLR) model is an important tool for investigating relationships between several response variables and some predictor variables. This method is very powerful and commonly used in finance, economic, medical, agriculture and many more. The main objective of this paper is t...
Main Authors: | Awang Nawi, Mohamad Arif, Wan Ahmad, Wan Muhamad Amir, Mohd Ibrahim, Mohamad Shafiq, Mamat, Mustafa, Khamis, Mohd Fadhli, Mohamed, Mohamad Afendee |
---|---|
Format: | Article |
Language: | English English |
Published: |
Blue Eyes Intelligence Engineering and Sciences Publication
2019
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/79286/ http://irep.iium.edu.my/79286/ http://irep.iium.edu.my/79286/ http://irep.iium.edu.my/79286/1/79286_Proving%20the%20Efficiency%20of%20Alternative%20Linear.pdf http://irep.iium.edu.my/79286/2/79286_Proving%20the%20Efficiency%20of%20Alternative%20Linear_SCOPUS.pdf |
Similar Items
-
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) -
JMASM39: Algorithm for combining robust and bootstrap in multiple linear model regression
by: Wan Ahmad, Wan Muhamad Amir, et al.
Published: (2016) -
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) -
Modified zero inflated poisson regression analysis and its application to public health data
by: Wan Ahmad, Wan Muhamad Amir, et al.
Published: (2019) -
Sample size calculations made easy using G*Power
by: Wan Ahmad, Wan Muhamad Amir, et al.
Published: (2018)