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Model discrimination and criticism with single-response data

✍ Scribed by Warren E. Stewart; Thomas L. Henson; George E. P. Box


Book ID
102697495
Publisher
American Institute of Chemical Engineers
Year
1996
Tongue
English
Weight
769 KB
Volume
42
Category
Article
ISSN
0001-1541

No coin nor oath required. For personal study only.

✦ Synopsis


The inverse probability theorem of Bayes is used, along with sampling theory, to obtain objective criteria for choosing among riual models. Formulas are given for the relative posterior probabilities of candidate models and for their goodness of fit, when the models are fitted to a common data set with Normally distributed errors. Cases of full, partial and minimal variance information are treated. The formulas are demonstrated with three examples, including a kinetic study of a catalytic reaction.


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