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Control of modeling error in calibration and validation processes for predictive stochastic models

Authors

  • J. Tinsley Oden,

    Corresponding author
    1. Institute for Computational Engineering and Sciences, The University of Texas at Austin, 1 University Station C0200, Austin, TX 78712, U.S.A.
    • Institute for Computational Engineering and Sciences, The University of Texas at Austin, 1 University Station C0200, Austin, TX 78712, U.S.A.
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    • The first author would like to dedicate this work to the memory of his dear and long-time friend, Olek Zienkiewicz, a founder of IJNME and a great scholar whose work profoundly changed the way numerical methods in engineering are done.

  • Serge Prudhomme

    1. Institute for Computational Engineering and Sciences, The University of Texas at Austin, 1 University Station C0200, Austin, TX 78712, U.S.A.
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Abstract

The idea of adaptive control of modeling error is expanded to include ideas of statistical calibration, validation, and uncertainty quantification. Copyright © 2010 John Wiley & Sons, Ltd.

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