Sentence examples for model methods is from inspiring English sources

In the literature, the convention for selecting the transition probabilities for multiple model methods is to use almost always diagonally dominant transition probability matrices (TPM).

A total of 28 models (14 data sources × two model methods) were constructed using data from 433 plots.

The probabilistic model methods are Bayesian reasoning, evidence theory, robust statistics, recursive operators.

A total of 32 models (16 data sources × two model methods) were constructed using data from 484 plots.

Mixed model methods were used for the analysis, with separate variances fit for each of the 2 groups (SC and C) when necessary.

We and others [ 3, 5, 6] have shown that mixed model methods are a powerful yet parsimonious approach for analyzing microarray data.

One statistical model method is discussed in [14].

The effectiveness and feasibility of the proposed model method is finally verified with experimental data.

This reduced-order model method is described as modal domain reduction (MDR).

A variable selection procedure, TIM (two-input model) method is carried out by combining neural network design and statistical approaches.

The Autoregressive and Moving Average (ARMA) model method is proposed in [33] to model a moving face as a linear dynamical object.