Journals / Sigma Mühendislik ve Fen Bilimleri Dergisi / 2026 / Volume: 35 Issue: 2

AN MS EXCEL TOOL FOR PARAMETER ESTIMATION BY MULTIVARIATE NONLINEAR REGRESSION IN ENVIRONMENTAL ENGINEERING EDUCATION

Selami Demir(YILDIZ TECHNICAL UNIVERSITY)
Aykut Karadeniz(YILDIZ TECHNICAL UNIVERSITY)
Hülya Civelek Yörüklü(YILDIZ TECHNICAL UNIVERSITY)
Neslihan Manav Demir(YILDIZ TECHNICAL UNIVERSITY)
Pages
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Publication Date
2017-06-01
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Results suggested that the MS Excel tool produces satisfactorily fast and reliable results, and can be used confidently for optimization works in environmental studies.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This paper presents the implementation of an MS Excel tool for parameter optimization in environmental engineering education.
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Key Findings & Data:Visual Basic for Applications v7.0 were used for implementation of the program.
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Conclusion & Impact:Results suggested that the MS Excel tool produces satisfactorily fast and reliable results, and can be used confidently for optimization works in environmental studies.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Environmental modeling · optimization · multivariate nonlinear regression

Abstract

This paper presents the implementation of an MS Excel tool for parameter optimization in environmental engineering education. Visual Basic for Applications v7.0 were used for implementation of the program. A number of test cases were also provided to test the performance of the tool including the fields of air pollution control, water treatment, and anaerobic treatment. For each test case, calculated coefficients of determination were 0.98 and above. Results suggested that the MS Excel tool produces satisfactorily fast and reliable results, and can be used confidently for optimization works in environmental studies.

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Cite This Article

Demir, S., Karadeniz, A., Yörüklü, H. C., Demir, N. M. (2017). AN MS EXCEL TOOL FOR PARAMETER ESTIMATION BY MULTIVARIATE NONLINEAR REGRESSION IN ENVIRONMENTAL ENGINEERING EDUCATION. Sigma Mühendislik ve Fen Bilimleri Dergisi, Volume: 35 Issue: 2. https://ajindex.com/articles/1345168

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