Sentence examples for models are extensions from inspiring English sources

Two-step logit models are extensions of the ordinary logistic regression model, which are designed for complex ordinal outcomes commonly seen in practice.

Autoregressive integrated moving average model (ARIMA) and seasonal autoregressive integrated moving average (SARIMA) models are extensions of ARMA class in order to include more realistic dynamics, in particular, respectively, non-stationarity in mean and seasonal behaviors (Behnia and Rezaeian 2015).

Ordered logit models are extensions of multinomial logit models to account for the inherent ordering of severity levels in collisions, such as, from no injury to injury and to fatal [10, 38, 39, 40, 41, 42, 43, 44].

Most of the models are extensions of the multinomial logit models based on the assumption of independent severity classes [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11].

The models are extensions of a recent work and considers pressure dependent behavior for porous SMAs as well as the coupling effects of transformation and plasticity for both dense and porous SMAs.

Multinomial models are extensions of logistic models.

Most of these models were extensions of the models developed by Fisher and co-workers (Allen and Fisher 1993; Fisher et al. 1991) in rats, mice, and humans.

A final consideration for further development of this and other multiscale systems pharmacology models is extension into stochastic frameworks.

The methods used in our model are generalized linear models that are extensions of standard hierarchical statistical models, with slight modifications to the RJMCMC to allow for empirical Bayesian proposal distributions.

When this occurs, ZIP and ZINB models, which are extensions of the Poisson and negative binomial models, respectively, are often used to account for the excess zeroes.

As these models are simply extensions of atomistic-MD, existing all-atom simulation packages can readily be used with minimal changes.