Sentence examples for models and likelihood from inspiring English sources

An algorithm for selecting the most likely kinetic structures, starting from the simplest models in the decision graphs, is developed based on the concepts of nested models and likelihood ratio tests.

Gaussian correlation models and likelihood ratio tests for checking equality of variances of two dependent random variables are studied in Section 2. The content of this section is of some interest of its own although it might be partly known to the reader.

Information regarding size, level of variability, molecular evolutionary models, and likelihood values from phylogenetic analyses for all mtDNA and nDNA genes can be found in Table 1.

Results for the models and likelihood ratio tests are given in Table 3.

Analysis was conducted using multiple linear regression models and likelihood ratio tests.

The models and likelihood tests were implemented using the phylogenetic software package HYPHY (Pond et al., 2005) (see Supplementary File 2 for an example HYPHY script).

Logistic regression modeling and likelihood ratio tests were used to investigate an interaction between a particular haplotype and smoking status.

Table 3 shows the results of the statistical modeling and likelihood ratio tests for the reported parameters.

The Gaussian Mixture Model - Universal Background Model (GMM-UBM) [1-3] is a prevalent speaker modelling technique used extensively in FVC and has become the primary method for modelling and likelihood ratio calculation in automatic FVC systems, see in particular [7,17,18].

For each data set, DS1, DS2, DS3, DS4, and DS5, there were three quantification methods investigated (1, 2, and L denote one-tissue compartment model, two-tissue compartment model, and likelihood estimation in graphical analysis, respectively).

For multivariate analysis, multiple logistic regression, fixed model and likelihood ratio method analyses were performed to ascertain the impact of different variables on the IPR-AASTRE-B and with the aim of adjusting for possible confounding effects.