Therefore, deterministic models perform the same way for a given set of initial conditions.

A few advocates of deterministic models have not given up on local hidden variables.

It is important to stress that the deterministic models presented here are valid only in case of sufficiently large populations.

A deterministic model will thus always produce the same output from a given starting condition or initial state.

A simple deterministic (compartmental) model was formulated in this paper.

In practice, actual data from respondents do not closely match Guttman's deterministic model.

His focus is on deterministic sequential models of digital emotion.

Some critics argue that the theorem only applies to deterministic models.

The data requirements are the same as with the deterministic model (probability of transfers).

On the other hand, establishing an additional status in a deterministic model makes the model highly complicated.