Reproductive response measurements were then transformed to a logarithmic scale due to standard deviation-mean dependence for the number of grain loss i.e., standard deviation increase with average number of seeds [ 63].
For nutrition, vision, incontinence and cognitive impairment the difference in mean dependence score between these sub-groups was statistically significant.
Explanations for the mean stress dependence for a wide range of stress ratios are given by introducing four fatigue limit determining mechanisms.
Count data was then used as input for the program DESeq [ 47] which estimates variance-mean dependence in the data and tests for differential expression based on the negative binomial distribution.
DESeq estimates variance-mean dependence in count data from DGE-tag libraries and tests for differential expression based on a model using the negative binomial distribution.
Differential expression was assessed using DESeq2, which estimates variance-mean dependence in read counts and uses negative binomial distribution to test for differential expression.
Although the results for the t-statistics confirm results from previous studies (e.g. "Knox Cube Test") [ 15] they differ markedly from existing literature on simulated data using the dichotomous model [ 15, 16] which, in addition, has also suggested a significant sample size dependence for mean square statistics.
However, although qualitatively similar, these dependencies are clearly distinct as indicated by the different shapes of the dependence for the mean lengths of exons and introns (fig. 2).
For the lowest energy inscriptions, the fine intensity threshold dependence for significant index change means that some lines are only visible in a fraction of the B-scans.
Various equations to account for the mean stress dependence of crack propagation data have been described.
Finally, a new equation to account for the mean stress dependence of crack propagation data has been suggested and its excellent applicability has been shown.
