Sentence examples for models to partition from inspiring English sources

We used reduced models to partition the variance for each sex separately.

We used mixed models to partition odor variance within and between people and between neighborhoods, and to quantify relationships between environmental factors and odor.

In fact, because we will use multivariate regression models to partition the overall variance, we expect to have more power than estimated.

Here, we determined the average log10 signal intensity of the two replicates of each probe on each array, but rather than any further preprocessing, we used the mixed models to partition the variation of interest (among MA or outbred population lines) from other experimental sources of variation (Ayroles and Gibson 2006).

We evaluated the change in daily mean traditional stove use after introduction of the intervention using linear mixed models to partition the between- and within-household variance components and to calculate the intraclass correlation coefficient (ICC, the proportion of variability explained by between subject differences).

We use multilevel models to partition the variance of the environment in which the children lived to identify which part individual, family, school, or childhood area of residence has the greatest association with adult health, thus exploring possible explanations for the association of early-life social circumstances and adult health.

We use the animal model framework to partition variation in the observed traits and the latent factor traits into additive genetic variation and residuals.

Among these abovementioned methods, Andersen et al. [15] incorporated radio frequency inhomogeneity correction into probabilistic classification model to partition an MR image.

Using a Bayesian movement model to partition whale movement into traveling and area-restricted search states, we found that both whale behavior and krill catch effort were spatially clustered, with distinct hotspots of the whale activity in the Gerlache and southern Branfield Straits.

We propose using a flexible hierarchical Bayesian model to partition the variability and quantify uncertainties in a unified framework.

The proposed approach first builds a Bayesian model on both continuous data and discrete data, and then extends the model to partition multiple-phenotype data.