Sentence examples for multinomial tree models from inspiring English sources

Cowan (2001) and Pashler (1988) suggested applying multinomial tree models to data from change detection paradigms in order to estimate working memory capacity.

Before introducing the WoMMBAT software, however, we first describe Pashler's and Cowan's multinomial tree models, on which the formulas are based, and Morey's hierarchical extension.

Pashler (1988) and Cowan (2001) both suggested formulas, derived from different multinomial tree models, that might be used to estimate capacity; they differed in the paradigms that they applied.

Multinomial processing tree models have been widely used for characterizing categorical responses in terms of a finite set of discrete latent states, and a number of processes arranged serially in a processing tree.

Choosing the correct multinomial tree capacity model for the design that yielded the data (full display or single cue) is critical; analyzing the data with the wrong capacity model will yield uninterpretable results.

The corresponding multinomial tree is shown in Fig.  2, top right.

The tree in Fig.  2, top left, shows a multinomial tree for trials on which the stimulus changed.

This study is unique in that it has used a decision tree model to evaluate threshold values for significant variables identified in multinomial logistic regression.

Bell et al. [10] analyzed their data with the aid of multinomial processing tree (MPT) models.

Multinomial models are extensions of logistic models.

The resulting models are called multilevel multinomial logit models (MML).