Model discrimination and criticism with single-response data
β 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.
β¦ 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.
π SIMILAR VOLUMES
## Abstract In a single compartment quantal response model, besides the input and release processes, an inspection process, assumed to be independent of the input and release processes, is considered. Each time when a release occurs, we assume the amount of release is randomly proportional to the a