Sentence examples for theory criterion from inspiring English sources

Exact(3)

First, ProtTest v3.3 (Darriba et al. 2011) revealed LG+G+F as the best-fitting model according to the Akaike information criterion (AIC; Akaike 1974), Bayesian Information Criterion (Schwarz 1978), corrected AIC (Sugiura 1978; Hurvich and Tsai 1989), and Decision Theory Criterion (Minin et al. 2003).

This means that the theory criterion used in this study (i.e., control of the blank force and its value) is the correct criterion and on the basis of it, the piece die can be designed and constructed in the terms of the combinational contour of symmetric-asymmetric.

For the alignment across animals, the corrected Akaike information criterion, the Bayesian inference criterion, and the decision theory criterion all selected the GTR+I+G model of evolution, with a p-invar = 0.0640 and a gamma shape parameter of 0.9840.

Similar(57)

In these clustering methods, certain information theory criteria, such as average mutual information, are used to make different classes.

It would be a stretch to bring in the information theory criteria for communication, i.e. "communication" occurs any time photons or electrons are caused to move from here to there.

The proposed methodology together with reliable optimization algorithms and failure theory criteria are integrated and coded into a FE optimization tool by Python script.

To subject the items of the developed instrument to an item analysis to assess them according to classical test theory criteria and to compile a final test form.

For the conventional stepwise algorithms we employed backward elimination (BE) and forward selection (FS) strategies using hypothesis testing approach: Likelihood ratio test (LRT) (p = 0.05), and information theory criteria: AIC [ 38] and BIC [ 39].

Some believe that any meaningful definition of death must take into account such an information-theory criterion.

Criminologists have recently begun a more limited use of AIC and other information-theory criteria, but rarely to evaluate different models (Petrossian 2015; Groff 2014, are exceptions).

In signal detection theory, c (criterion) is a measure of response bias and defined as c = −½ [z(H) + z(F)] (Macmillan and Creelman 2005).

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