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To minimize sampling variance of the estimates of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${{\sigma}_{a_v} $$\end{document} σ a v, phenotypes on a large number of relatives are required.
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A stratified random sampling technique was used to minimize sample variance and to increase precision.
Values of the variance components used in the simulation were assumed known to minimize sampling variation.
To minimize sampling variability, the following steps were taken.
To minimize sample variation, we used high quality RNA.
For each value k, we repeat the experiment 20 times to minimize effects due to sampling variance.
To minimize the impact of sampling variance on results, valid comparisons were those that had a minimum of 20× coverage.
The Taguchi method and the Pareto Analysis of variance were used to elaborate the effects of Brij 78/SiO2 ratio and aging time in (i) minimizing samples mean crystal length (MCL) and (ii) maximizing BET surface areas.
Controls which minimize the distance function, as in the first order reliability method (FORM), are shown to minimize a bound on the sampling variance of the estimator for the probability of failure.
Each chromosome was divided into 100 windows spanning 18 cM each; these parameters were optimized to detect small regions of divergence but minimize background noise due to sampling variance.
When nearest-neighbor matching was used, the sampling variance was minimized in 7 of the 96 scenarios when 3 1 matching was employed; in 14 of the 96 scenarios when 4 1 matching was employed; and in 75 of the 96 scenarios when 5 1 matching was employed.
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