Sentence examples for combinations of variance from inspiring English sources

As noted from the numerical examples (table 2), statistical performance seems to be considerably more sensitive to non-optimal strategies at some combinations of variance components, unit costs and cost function exponents than at others.

At other combinations of variance components and unit costs, in particular when between-subject variability was small compared to within-subject variability and subject recruitment costs at the same time were large compared to costs for setting up measurement occasions, non-linearities did, however, strongly affect both the optimal allocation principle and the eventual statistical performance.

A multitude of factors affect power, including the combination of variance components used in the model, heritability effect size (ranging between 0 and 1), sample size and the proportion of monozygotic (MZ) to dizygotic (DZ) twins in the dataset.

Analysis of covariance (ANCOVA), which can be defined as the combination of variance analysis and regression analysis, is a powerful technique that can be applied when assumptions are met.

The standard errors are based on a combination of variance components rather than a least squares estimate of variance so that they are not associated with a known number of degrees of freedom (df).

Lastly, we describe six approaches to modelling between-trial variances that make use of different combinations of heterogeneity variance parameterizations and priors.

Assuming the variance ratios to be known, we tabulate D-optimal designs for various combinations of the variance ratios.

This study additionally evaluates the significance of new features: all combinations of mean, variance, skewness, and kurtosis of EEG frequency-domain power distributions.

Taylor and Muller [ 3] and Muller and Pasour [ 4] derived exact distributions of noncentrality and power in univariate linear models based on all combinations of estimated variance and means.

Seventy penetrance models were grouped into 7 cases of heritability on the horizontal axis, while all 9 combinations of the variances in high- and low-risk distributions were merged into each heritability case.

Model-fitting approaches have shown that different combinations of additive genetic variance (A), non-additive genetic variance (D), common environmental variance (C), and unique environmental variance (E) contribute to phenotypic variation within the dentition, reflecting different ontogenetic and phylogenetic influences.