Sentence examples for estimates of the certainty from inspiring English sources

Incorporating phylogenetic information into trait-climate models changed both the estimates of a relationship itself (slopes and intercepts) as well as estimates of the certainty of predictions (standard errors of slopes and intercepts).

CNVhap returns the CNV genotypes for each sample, as well as an estimate of the certainty of these genotypes.

A neutral prior probability of 0.5 was used to provide a conservative estimate of the prior certainty of freedom from poliovirus infection following a known importation.

In previous studies using this microarray [17], the criteria has been that the M value>1 (the M-value is the log2 of the difference in expression level, so M = 1 means that there was a two-fold change in expression level), and B>0 (B = log odds ratio of expression; the B-value estimates the certainty of DE vs non-certainty of DE, and includes correction for false discovery rate).

It is also shown how a reliable measure of the certainty of the estimate can be obtained by finding the deviation from the signal model manifold.

For alignments which do not fall into those ranges probability estimates of the SVM need to be regarded with certainty.

(1) To estimate the probability of freedom from poliovirus infection, a prior estimate of the level of certainty of Australia being free from wild poliovirus infection is required for the initial surveillance month.

Comprehension, therefore, was linked with defendable estimates of certainty.

Twenty-one of twenty-three pareportedthateportheythat they integrated the probability and the payoff to estimate the certainty equivalent for each bet using a method similar to mathematical expectation.

We have also employed a number of analytic changes that we believe strengthen the estimation process and the certainty of our final estimates.

Specifically, better model fit was suggested by a lower Akaike information criterion (31); a lower Bayesian information criterion (32); a significant Lo-Mendell-Rubin likelihood ratio test, suggesting the more complex model (i.e., model with more groups) fits the data better than the model with fewer groups (33); and entropy, the estimate of certainty of classification (ranging from 0 to 1).