Sentence examples for maximum likelihood models from inspiring English sources

Maximum likelihood models indicated that a combination of NDVI and vegetation volume best predicted nighttime temperature in Chicago, and that vegetation growing within 250 500 m of the weather station was most influential.

Unfortunately, the Guan et al. ([2006]) approach used to estimate production risks and the bivariate probit model used to estimate adoption are non-linear maximum likelihood models which cannot be directly estimated by fixed effects (Wooldridge, [2002]).

It estimates the per site ratio of nonsynonymous to synonymous substitutions in every codon along the branches of a phylogenetic tree by fitting nested maximum likelihood models with different parameters.

Heritabilities and variance components of the phenotypic variance were estimated with restricted maximum likelihood (REML) models, which are preferred over maximum likelihood models when fitting a large number of fixed effects [4].

We used site-specific Maximum Likelihood models (ML) to detect positive selection on specific amino acids.

Maximum likelihood models of codon substitution account for variable selective pressures among amino acid sites.

It is demonstrated that the maximum likelihood model is highly accurate in reservoir performance prediction.

We present a maximum likelihood model to estimate the age of retrotransposon subfamilies.

The deviance statistic is defined as: -2*log(Maximum Likelihood (model)) (9).

Where −2∗ log(Maximum Likelihood(model)) is the deviance and N parm is the number of parameters being estimated.

This maximum likelihood model was fitted independently to each data set.