Sentence examples for model with normal distribution from inspiring English sources

A model with gamma distribution and log transform was compared with a model with normal distribution and no transform for fitting the observed outcome.

The BIC score and Pearson chi-square statistics (value/df) for the model with gamma distribution and log transform were 25,477.6 and 0.149, while those values for the model with normal distribution and no transform were 26,085.3 and 3.009, respectively.

We calculated the absolute change in each risk factor between 2000 and 2010 by using generalised linear models with normal distribution and identity link for the continuous risk factors and generalised linear models with a binomial distribution and a logit link function for categorical variables (technical appendix, table C).

As result, the forecast models (Model B1, Model C1 and Model D1) perform well with normal distribution of around zero error.

Each analysis was run twice using the following settings: separate partitions used; ingroup monophyly enforced; uncorrelated lognormal relaxed-clock model; ngen = 40,000,000; samplefreq = 2,000; burnin = 10,001; Yule model; calibration points with normal distribution; the RAxML tolopolgy was used as starting tree for all analyses.

In case of WS, the statistical model is not coordinated with normal distribution but more harmonized with Weibull distribution function.

In practice, the generalized estimating equation can be obtained in a generalized linear model for the pseudo-values with normal distribution and robust variance estimation (Klein et al. 2007, Parner and Andersen 2010).

The R-D function for a source with normal distribution is modeled as (18 [42], d = δ 2 2 - 2 r = δ 2 e - 2 ln 2 r (18).

The uncertainty associated with the seepage velocities was calculated by the Monte Carlo analysis allowing several physical parameters of the model to vary over pre-defined intervals with normal distribution.

The model has been examined again for the case to have coefficients with normal distribution.

So for example, assume that you have a normal distribution one random variable with normal distribution.