A variety of methods are available to estimate non-linear models.

A particularly important class of non-linear models are those used to estimate relationships where the dependent variable is discrete, truncated or censored.

Other non-linear models, such as proportional hazards models for survival analysis, have been considered only with a single predictor subject to variability.

This is because the covariance is propagated through linearization of the underlying non-linear model.

Extensions to the non-linear model are the subject of active investigation [ 27 ] .

A non-linear model of information seeking behaviour, Information Research, 10(2), paper 222.

It is a generalization of Deming regression, and can be applied to both linear and non-linear models.

A non-linear model can sometimes be transformed into a linear one.

In non-linear models the direction of the bias is likely to be more complicated.

Communication systems have become one of the most popular, "non-normative" and "non-linear" theoretical models in contemporary communications.