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Approaches to Highly Parameterized Inversion: A Guide to Using PEST for Model-Parameter and Predictive-Uncertainty Analysis

Approaches to Highly Parameterized Inversion: A Guide to Using PEST for Model-Parameter and Predictive-Uncertainty Analysis

Approaches to Highly Parameterized Inversion: A Guide to Using PEST for
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Approaches to Highly Parameterized Inversion: A Guide to Using PEST for Model-Parameter and Predictive-Uncertainty Analysis Paperback - 2014

by Hunt, Randall J

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  • Title Approaches to Highly Parameterized Inversion: A Guide to Using PEST for Model-Parameter and Predictive-Uncertainty Analysis
  • Author Hunt, Randall J
  • Binding Paperback
  • Condition New
  • Pages 78
  • Volumes 1
  • Language ENG
  • Publisher Createspace Independent Publishing Platform
  • Publication date 2014-06-23
  • Bookseller's Inventory # 21707556-n
  • ISBN 9781500299989 / 1500299987
  • Weight 0.45 lbs (0.20 kg)
  • Dimensions 11.02 x 8.5 x 0.16 in (27.99 x 21.59 x 0.41 cm)
  • Category Technology & Industrial Arts
  • Quantity available 5

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Reader reviews for Approaches to Highly Parameterized Inversion: A Guide to Using PEST for Model-Parameter and Predictive-Uncertainty Analysis

From the publisher

Analysis of the uncertainty associated with parameters used by a numerical model, and with predictions that depend on those parameters, is fundamental to the use of modeling in support of decisionmaking. Unfortunately, predictive uncer- tainty analysis with regard to models can be very computa- tionally demanding, due in part to complex constraints on parameters that arise from expert knowledge of system proper- ties on the one hand (knowledge constraints) and from the necessity for the model parameters to assume values that allow the model to reproduce historical system behavior on the other hand (calibration constraints).
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