Sentence examples for using the model choice from inspiring English sources

To evaluate whether the observed data were in agreement with the simulated data, ABCtoolbox reports a p-value varying between 0 (no fit) and 1 (good fit) [ 33].> The relative probabilities of the three scenarios were computed using the model choice acceptance method [ 42] consisting in the proportion δ of data sets, among the N simulated, that are the closest to the observed data set.

As stated above, in order to simplify the application, the survey results have been used to reduce the model choice sets.

To organise our data we used the model of medical students' specialty choice developed by Bland and Meurer [ 8].

A supply curve built using the choice model predicted that the proportion of traditional farming increased from 20%to80%0% of the landscape, when economic incentives increased from about 100€/ha to 160€/ha.

The probability of each participant being willing to engage (P[yes]) was estimated for each stake and effort combination using the choice model (see equation [2]).

An integrated model is developed using the discrete choice model, combined with the cumulative prospect theory to identify significant attributes.

Finally, statistical fit of the six different models were compared using a model choice procedure by means of the Akaike Information Criterion implemented in the R package BioGeoBEARS [ 34, 35].

The standard practice of testing these effects was further expanded by using the structural choice modelling (SCM) framework.

Informed choice was assessed using the multidimensional model of informed choice, a measure that has been developed and validated in the context of antenatal screening for Down's syndrome.

Finally, using the rational-choice models by Esser (1999) and Breen and Goldthrope (1997), Becker and Hecken (2007, 2009) also find that social disparities with regard to expected academic success, maintenance of socio-economic status and subjective perceptions of the educational costs are very important for explaining educational decisions (academic vs. vocational track).

Predictive log-likelihood values used as model choice criteria in the bivariate analysis of GL and BW data indicated that the BS t model with low degrees of freedom fitted better than the BN model.