Modeling the output from a commercial chemical process using regression models from survival analysis-Reference-Cited by-同舟云学术

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Modeling the output from a commercial chemical process using regression models from survival analysis

Published:2024-09-10 Issue: Volume: Page:1-12
ISSN:0898-2112
Container-title:Quality Engineering
language:en
Short-container-title:Quality Engineering

Author:

Coetzer R. L. J.¹²,de Waal D.³⁴,Smuts M.⁵,Visagie I. J. H.⁵

Affiliation:

1. School of Industrial Engineering, North-West University, Potchefstroom, South Africa

2. Focus Area for Pure and Applied Analytics, North-West University, Potchefstroom, South Africa

3. Department of Mathematical Statistics and Actuarial Sciences, University of the Free State, Bloemfontein, South Africa

4. Department of Statistics, University of Pretoria, Pretoria, South Africa

5. School of Mathematical and Statistical Sciences, North-West University, Potchefstroom, South Africa

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/08982112.2024.2396930

Reference29 articles.

1. The Statistical Analysis of Compositional Data

2. Broström, G. 2012. Event history analysis with R. Boca Raton: Chapman and Hall.

3. Broström G. 2020. Event history analysis. R package version 2.8.3 https://cran.r-project.org/package=eha.

4. The Convergence of a Class of Double-rank Minimization Algorithms 1. General Considerations

5. Ceylan, Z., and C. Ceylan. 2021. Applications of machine learning algorithms to predict the performance of coal gasification process. In Applications of artificial intelligence in process systems engineering, 165–86. Amsterdam: Elsevier.

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