Beta
371476

A Novel Technique: Conceived Predictive Diagonal (CPD) Graphical Nonlinear Regression Modeling and Simulation

Article

Last updated: 05 Jan 2025

Subjects

-

Tags

-

Abstract

The present work predicts a novel technique for treating workable results. It aims to more professional data treating
with less numbers of experiments. A Conceived Predictive Diagonal (CPD) technique is suggested for this target. For the
latter a non-linear regression procedure is applied using MATLAB software. Four published examples are employed and
treated. By remodeling rate of reaction -Arrhenius combination for studying a pair of factors simultaneously the
simulated results are very closed to that reported. It also successfully applied for lab scale uranium removal from nitrate
solution by Amberlite IR 120 at Nuclear Materials Authority, Egypt. This work demands skillful in matrices, nonlinear
regression modeling, MATLAB, and kinetics- thermodynamics relation

DOI

10.21608/jbes.2020.371476

Authors

First Name

E. A.

Last Name

Gawad

MiddleName

-

Affiliation

Nuclear Materials Authority P.O. 530 Maadi-Cairo

Email

-

City

-

Orcid

-

Volume

7

Article Issue

4

Related Issue

49590

Issue Date

2020-10-01

Receive Date

2024-08-02

Publish Date

2020-10-01

Page Start

213

Page End

220

Print ISSN

2536-9202

Online ISSN

2356-6388

Link

https://jbes.journals.ekb.eg/article_371476.html

Detail API

https://jbes.journals.ekb.eg/service?article_code=371476

Order

371,476

Type

Original Article

Type Code

3,063

Publication Type

Journal

Publication Title

Journal of Basic and Environmental Sciences

Publication Link

https://jbes.journals.ekb.eg/

MainTitle

A Novel Technique: Conceived Predictive Diagonal (CPD) Graphical Nonlinear Regression Modeling and Simulation

Details

Type

Article

Created At

21 Dec 2024