Sentence examples for mixture models provides from inspiring English sources

A simulation study indicated that when the true model is specified, each of the proposed marginalized mixture models provides low biases, Type I errors and confidence interval coverages close to the nominal levels.

Specifically, the proposed MPois-Pois and MNB-Pois mixture models provide alternative model choices to MZIP and MZINB for counts that are overdispersed or have many zeros.

Analysis of simulated data suggests that methods based on mixture models provide better predictive ability than methods that assume all the SNP have predictive value [ 15], while analysis of field data tends to demonstrate relatively little difference between alternative methods, and some inconsistencies appear from trait to trait as to which is the most predictive method [ 41, 42].

In the univariate analysis, it is shown that a 3-component Lognormal mixture model provides a good fit to the marginal distribution function of fixation duration, and a hierarchical model is required for modeling saccade length.

The strong linearity of the Substrate Vegetation Dark surface (SVD) mixture model provides consistent estimates of illuminated vegetation fraction that can be used to constrain physical process models that require biophysical inputs related to vegetation abundance.

Statistical mixture modeling provides an opportunity for automated identification and resolution of cell subtypes in flow cytometric data.

It was shown that the vMF mixture model provides a good fit to the angular estimates of the multidimensional parameter extraction algorithm, namely RiMAX [33].

A five class mixture model provides very close fit to the observed data at all levels of disease severity.

Our results indicate that the phylogenetic mixture model provides a general framework for measuring microsatellite conservation on a genomic scale.

Since our mixture model provides an unsupervised AEI detection method, it is sensitive to the underlying parametric assumptions.

In the evaluation of Taxy-Pro, we show that the protein-based mixture model provides important advantages when compared with the oligonucleotide-based model.