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Simultaneously analyzing data from multiple groups is only advantageous when at least one of these variance components can be assumed to be homogeneous across the groups.
We also present several applications of these variance inequalities, including reverse Hölder inequalities for convex functions, weighted Brascamp Lieb inequalities and sharp weighted Poincaré inequalities for generalized Cauchy measures.
To clearly explore the contributions by the correlated inputs to the variance of model output, the general expressions of the variance contributions of the correlated inputs are firstly derived in this paper, which provide a general validation for the accurate connotations of these variance contributions.
The values of these variance reduction coefficients confirm that no site proxy can be preferred over the whole frequency range.
A statistical comparison of these variance estimates is then made and a P value obtained.
We emphasize three points concerning the interpretation of these variance components.
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Increasing the depth of the secondary layer causes both of these variances to decrease through a minimum and to then increase.
Both neutronic and safety parameters for MOX fuel vary from traditional uranium oxide (UO2) fuel, so it is important to be aware of these variances.
The calculation of these variances followed standard procedures for an unbalanced one-way random-effects model (e.g. Searle 1971).
So what do all of these variances mean?
Some of these variances are small; perhaps you're married to a different person but the rest of your family remains largely the same.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com