A new optimization scheme for robust design modeling with unbalanced data
The Lin and Tu (LT) optimization scheme which is based on mean squared error (MSE) objective function is the commonly used optimization scheme for estimating the optimal mean response in robust dual response surface optimization. The ordinary least squares (OLS) method is often used to estimate the...
Saved in:
Main Authors: | Baba, Ishaq, Habshah Midi,, Ibragimov, Gafurjan, Rana, Sohel |
---|---|
Format: | Article |
Language: | English |
Published: |
Penerbit Universiti Kebangsaan Malaysia
2022
|
Online Access: | http://journalarticle.ukm.my/19489/1/25.pdf http://journalarticle.ukm.my/19489/ https://www.ukm.my/jsm/malay_journals/jilid51bil5_2022/KandunganJilid51Bil5_2022.html |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A new optimization scheme for robust design modeling with unbalanced data
by: Baba, Ishaq, et al.
Published: (2021) -
An alternative approach of dual response surface optimization based on penalty function method
by: Baba, Ishaq, et al.
Published: (2015) -
Robust stability best subset selection for autocorrelated data based on robust location and dispersion estimator
by: Uraibi, Hassan S., et al.
Published: (2015) -
Penalized LAD-SCAD estimator based on robust wrapped correlation screening method for high dimensional models
by: Baba, Ishaq Abdullahi, et al.
Published: (2021) -
Robust regression imputation for analyzing missing data
by: Rana, Md. Sohel, et al.
Published: (2012)