Sentence examples for model with distribution from inspiring English sources

We apply the collective household labor supply model with distribution factors of Chiappori et al. (2002), in its general version.

This paper investigates an improved way to calculate imperfect items in an integrated inventory model with distribution free approach for lead time demand to simultaneously optimize lot size, safety factor, number of shipments, and lead time.

Generally speaking, a data set with an unbalanced sample population, small sample size, and/or low signal:noise ratio would tend to produce a model with distribution overlapping the null distribution.

We did this by running the model with distributions for each parameter rather than point estimates.

The deterministic model with sufficient distribution line capacities; The deterministic model with insufficient distribution line capacities; The robust model with insufficient distribution line capacities.

The index of stability parameter,, provides flexibility in impulsiveness modeling, with distributions ranging from light-tailed Gaussian to extremely impulsive.

The following three scenarios are considered: 1) The deterministic model with sufficient distribution line capacities;   2) The deterministic model with insufficient distribution line capacities;   3) The robust model with insufficient distribution line capacities.  .

Adjusted total medical costs were estimated using the generalized linear model with gamma distribution and log-link transformation to account for the abnormal distribution of costs.

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.

Therefore, the model with gamma distribution and log transform was selected to fit the observed data.