Sentence examples for gamma models from inspiring English sources

The gamma models are extensively used for applied research in the areas of econometrics, engineering and biomedical sciences; but there are few goodness-of-fit tests available to test if the data indeed come from a gamma population.

A procedure based on the maximum likelihood principle applied to the general case when all variables are subject to random error has been developed for the estimation of parameters in thermodynamic relationship (gamma) models (eqns 2 5) from binary VLE x-T-P data sets.

There are several parametric models to be used based on the distribution of the hazard/risk: exponential, Weibull, Gompertz, log-logistic, log-normal, and generalized gamma models.

It should be noted that the skewness of data from the log-normal and Gamma models increased monotonically as the sample size increased.

On the other hand, the K-S distances corresponding to the exponential and gamma models are the smallest, implying that these two models provide the best fit.

The preliminary modelling showed that Gaussian models with the log link function performed better in terms of the Akaike information criterion (AIC) than Gamma models.

At last, we used PHYML to build phylogenetic trees based on GTR + gamma model for mitochondrial genomes and WGA model for single ortholog copy genes, respectively.

All free model parameters were estimated by RAxML where we used a GAMMA model of rate heterogeneity and ML estimate of alpha-parameter.

Each regressor was convolved with a standard gamma model [40] of the hemodynamic impulse-response function.

Furthermore, the analyses revealed no support for the gamma model, which allows for rate variation over the base model without gamma (Table 2).

Figure 1 shows the hierarchical Bayesian consensus tree generated by a GTR invariant-sites plus gamma model.