Sentence examples for methods of variance from inspiring English sources

The most popular methods of variance components estimation are maximum likelihood (ML), restricted maximum likelihood (REML), analysis of variance and covariance (ANOVA) and minimum quadratic norm (MINQUE).

Mathematically elegant methods of variance decomposition and sensitivity clustering of parameters revealed non-trivial biological outcomes.

Robust methods of variance estimation were used to take into account the complex survey design using STATA 10.1.

This method of variance estimation was originally presented in a seemingly ad hoc manner, and we shall discuss it from a conditional point of view and also look at an alternative way of utilizing the weights.

REML is considered the best available method of variance parameter estimation, preferable to ML [ 14].

Below we sketch the method of variance decomposition as presented by Komorowski et al. [ 31].

The results were processed statistically by the method of variance using the software package Statistica V8 (StatSoft Inc., United States).

Proportions and Odds Ratios (with 95% confidence intervals) were weighted and calculated with the jackknife method of variance estimation [ 46].

All analyses were bootstrapped, which is a method of variance estimation that takes into account the complex sampling design of the survey [ 43, 44].

Survey weights were used to obtain point estimates and 95% confidence intervals were obtained with the jacknife method of variance estimation.

Stata implements a method of variance estimation known as "linearization" in which linear approximates (ie., the estimated variance) of a nonlinear function (ie., the true variance) are derived by taking the first-order Taylor series of the approximation.