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With R 2 → 1, within-sequence variance dominates between-sequence variance, and all sequences escape the influence of starting points and traverse all target distributions.
The Gelman and Rubin diagnostic methodology presented in [23, 28] compares the samples drawn from several independent sequences with different starting points and quantitatively evaluates mixing by analyzing the within-sequence and between-sequence variance.
For any scalar function, we label the th observation in chain as and calculate the between-sequence variance (8).
This is less than half as frequent as previous reports of sequence variance between M. musculus and M. spretus [ 5].
This again indicates that sequence variances between Arabidopsis and potato PDX proteins are responsible for this difference in interaction behavior, since AtPDX1.2 and StPDX1.2 are also only 69% identical.
b Gene structure and the sequence variance of GNS4 between WT and the gns4 mutant.
The between-hospital region variance and the between-municipality variance were somewhat similar, rendering MORs of 1.09 and 1.12, respectively.
The variances were significant in all models (p<0.05) and the between-hospital region variance and the between-municipality variance remained stable across models.
It estimates three variance parameters: the between-tree variance, the between-season variance, and the within-tree, within-season variance.
In this method, the total variance has two components: between-cluster variance and within-cluster variance.
Multilevel mixed effects models provide a natural decomposition of observed variance into within- and between-subject variance and noise variance.
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