Sentence examples similar to complete variance from inspiring English sources

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Furthermore, the paper shows how to combine tweet based systemic risk networks with those obtained from financial market data, using the a posteriori Bayesian mean of the complete variance-covariance matrix.

We now consider the selected graphical model, obtained by means of (backward) model selection from the mixed data source, obtained by averaging the complete variance-covariance matrices of financial and tweet data, as shown in the "Application and results" section.

Effects of the repeated intra-gastric administrations of maize proteins accounted for less than 10% of the complete metabolic variance analyzed in this experiment, the main factor accounting for the change in the metabolic fingerprint being the age of the animals.

A common-variant-based GWAS approach has not explained the complete genetic variance observed in complex traits.

As a consequence of reducing to three or four data points in gene-dimensional space, the two-dimensional CA plot perfectly or almost perfectly explains the complete remaining variance (98.3% in Fig. 3), respectively.

The fact that the combined SNP effects fall short of explaining the complete phenotypic variance may support the hypothesis that the expression of a quantitative trait is caused by a large number of very small effects that escape detection.

FST is an index of population differentiation, measuring the variance between subpopulations relative to the total variance, and ranges from 0 (no divergence) to 1 (complete divergence).

A test for co-linearity between the exposure variables was also completed using variance inflation factor (VIF) larger than 10 as evidence of co-linearity between two exposure variables.

The quasi-complete-data variance estimator is the sandwich estimator.

A limitation of our proof in Section 4 is that the complete-data variance estimator assumes that weights are known and ignores any estimation uncertainty about them.

Robins and Wang (2000) and Nielsen (2003) show for MI that when is inefficient, can be asymptotically biased, even if is a consistent estimator of the complete-data variance and imputation is from the correct posterior predictive distribution.

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