Sentence examples for identify a statistical model from inspiring English sources

A two-level factorial experimental design technique was used to identify a statistical model.

However, our goal was actually to identify a statistical model with sufficient complexity to accurately capture most aspects of the real data.

The AIC (and related approaches [ 21]) aims to identify a statistical model that offers the most efficient description of the data (in an information theoretic sense) from a set of trial models.

Plain material strain life data is used to identify a statistical Weibull strain life model and, using an adequate elastoplastic analysis, material strain life probabilistic curves are converted into probabilistic stress life curves of the structural component.

Activated voxels in each experimental phase were identified using a statistical model containing event-related design functions representing each of the experimental conditions with the SPM canonical hemodynamic response function.

Yet other methods identify biclusters by proposing a statistical model and estimating the distribution parameters that minimize a certain model fit criterion [ 19- 25].

Such systems learn a statistical model to identify entity mentions by inferring which characteristics (features) distinguish them from the surrounding text.

Traditional statistical genetics aims to identify susceptibility genes based only on a statistical model without considering biological similarities between disease genes and likely causal genes.

Cufflinks (Trapnell et al., 2010) attaches weights to edges and models the isoform reconstruction problem as a minimum path cover problem, while Scripture (Guttman et al., 2010) creates a statistical model to identify significant segments as isoforms.

First, given the small number of patients, we were unable to develop a statistical model to identify risk factors independently associated with a poor outcome or death in patients with acute community-acquired Lm meningitis.

Tools of the SLiMSuite package use this strategy, using a statistical model to identify SLiM enrichment based on the evolutionary relationships, amino acid composition and predicted disorder of the input proteins.