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A model comparison determined which parameters of the linear regression (θ, δ, both θ and δ, or none) were required to vary across strains in order to describe changes in μ as a function of T. The criterion for model selection was determined using the corrected Akaike Information Criterion (AICc) [ 43].
The normality of residual distributions was a third criterion for model selection.
A new Bayesian approach is proposed to perform this task, based on the Kashyap information criterion for model selection.
The Bayesian information criterion (BIC), which is a statistical criterion for model selection, has been used especially with speech material to segment and cluster a database [19].
The Bayesian information criterion (BIC) is another criterion for model selection, used to correct the overfitting nature of the AIC [10].
In most cases, MDL is used for supervised learning as a penalty term on the error function or as a criterion for model selection [40].
Similar(22)
This paper presents a performance metric and design criterion for model-based real-time optimization (RTO) systems, named extended design cost.
Previous work in qualitative decision theory has used the maximin decision criterion for modelling qualitative decision making.
This fulfills a key criterion for modeling a correct catalytic domain for TOR.
An additional goal of this concept is to advance methodology for modeling and to develop more uniform criteria for model validation in the population setting.
It presents a set of qualitative criteria for model classification.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com