Improvement of excess parameters from thermodynamic and phase diagram data by a sequential Bayes algorithm
Königsberger, E. (1991) Improvement of excess parameters from thermodynamic and phase diagram data by a sequential Bayes algorithm. Calphad, 15 (1). pp. 69-78.
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A sequential Bayesian parameter estimation technique ensures that a minimum of experimental thermodynamic and phase diagram data suffices for the calculation of excess functions which are comparable in accuracy and precision with quantities obtained by conventional methods. In addition, the new algorithm provides a feedback between data evaluation and experimental design. Typical applications of the proposed method are illustrated by several examples.
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|Copyright:||© 1991 Published by Elsevier Ltd|
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