Advances in High-Order Predictive Modeling: Methodologies and Illustrative Problems (Advances in Applied Mathematics) - Image 1

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Chapman and Hall/CRC Advances in High-Order Predictive Modeling: Methodologies and Illustrative Problems (Advances in Applied Mathematics)

Name: Advances in High-Order Predictive Modeling: Methodologies and Illustrative Problems (Advances in Applied Mathematics)
Brand: Chapman and Hall/CRC
Price: 119.35 GBP
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Computing & Internet

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Continuing the author’s previous work on modeling, this book presents the most recent advances in high-order predictive modeling. The author begins with the mathematical framework of the 2nd-BERRU-PM methodology, an acronym that designates the “second-order best-estimate with reduced uncertainties (2nd-BERRU) predictive modeling (PM).” The 2nd-BERRU-PM methodology is fundamentally anchored in physics-based principles stemming from thermodynamics (maximum entropy principle) and information theory, being formulated in the most inclusive possible phase-space, namely the combined phase-space of computed and measured parameters and responses. The 2nd-BERRU-PM methodology provides second-order output (means and variances) but can incorporate, as input, arbitrarily high-order sensitivities of responses with respect to model parameters, as well as arbitrarily high-order moments of the initial distribution of uncertain model parameters, in order to predict best-estimate mean values for the model responses (i.e., results of interest) and calibrated model parameters, along with reduced predicted variances and covariances for these predicted responses and parameters.

Product Specifications

Brand: Chapman and Hall/CRC
Format: hardcover
ASIN: 1032740566
Category: Books > Subjects > Computing & Internet
Domain: Amazon UK
Release Date: 11 December 2024
Listed Since: 01 June 2024

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