Global sensitivity analysis using Monte Carlo estimation under fat-tailed distributions-Reference-Cited by-同舟云学术

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Global sensitivity analysis using Monte Carlo estimation under fat-tailed distributions

Published:2024-07 Issue: Volume:294 Page:120124
ISSN:0009-2509
Container-title:Chemical Engineering Science
language:en
Short-container-title:Chemical Engineering Science

Author:

Sin Gürkan^ORCID

Publisher

Elsevier BV

Reference23 articles.

1. Meta-modeling based efficient global sensitivity analysis for wastewater treatment plants–An application to the BSM2 model;Al;Comput. Chem. Eng.,2019

2. Combining Group-Contribution Concept and Graph Neural Networks Toward Interpretable Molecular Property Models;Aouichaoui;J. Chem. Inf. Model.,2023

3. Sensitivity analysis: A review of recent advances;Borgonovo;Eur. J. Oper. Res.,2016

4. Assessment of full-scale N2O emission characteristics and testing of control concepts in an activated sludge wastewater treatment plant with alternating aerobic and anoxic phases;Chen;Environ. Sci. Technol.,2019

5. Are your data really Pareto distributed?;Cirillo;Phys. A: Stat. Mech. its Applications,2013

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