Fourth-Order Predictive Modelling: II. 4<sup>th</sup>-BERRU-PM Methodology for Combining Measurements with Computations to Obtain Best-Estimate Results with Reduced Uncertainties

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ISSN Print: 2161-1203
ISSN Online: 2161-1211
www.scirp.org/journal/ajcm
E-mail: ajcm@scirp.org

"Fourth-Order Predictive Modelling: II. 4^th-BERRU-PM Methodology for Combining Measurements with Computations to Obtain Best-Estimate Results with Reduced Uncertainties"
written by Dan Gabriel Cacuci,
published by American Journal of Computational Mathematics, Vol.13 No.4, 2023

has been cited by the following article(s):

[1]	Review of Fourth-Order Maximum Entropy Based Predictive Modelling and Illustrative Application to a Nuclear Reactor Benchmark: II. Best-Estimate Predicted Values …
	2024

[2]	Fourth-Order Predictive Modelling: I. General-Purpose Closed-Form Fourth-Order Moments-Constrained MaxEnt Distribution
	American Journal of Computational Mathematics, 2023

[1]	AI-Based Model Order Reduction Techniques: A Survey Archives of Computational Methods in Engineering, 2025 DOI:10.1007/s11831-024-10207-2

[2]	Review of Fourth-Order Maximum Entropy Based Predictive Modeling and Illustrative Application to a Nuclear Reactor Benchmark: II. Best-Estimate Predicted Values and Uncertainties for Model Responses and Parameters Energies, 2024 DOI:10.3390/en17163875

[3]	Review of Fourth-Order Predictive Modeling and Illustrative Application to a Nuclear Reactor Benchmark. I. Typical High-Order Sensitivity and Uncertainty Analysis Energies, 2024 DOI:10.3390/en17163874

[4]	Fourth-Order Predictive Modelling: I. General-Purpose Closed-Form Fourth-Order Moments-Constrained MaxEnt Distribution American Journal of Computational Mathematics, 2023 DOI:10.4236/ajcm.2023.134024

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