Wille et. al. [ 16] proposed an external variance estimation algorithm called EVE, which exploits the relationships between variances of gene expression and gene function.
The relationship between variance of the (u_{t}^{prime }s) and (lambda ) for the t-distribution is given in Harvey (2013, p. 62).
Analytical expressions for the relationship between variance, where it is controlled by short-range correlation, and sample size for common forms of the correlation coefficient are developed using an orthogonal (L1-metric) method of measuring distance.
Using the generalized form of Weber's law, which is the most accepted expression of the relationship between variance (difference threshold) and duration (real time) [49], a linear regression was performed.
The relationship between variance explained and physical length of the chromosome was expressed as the coefficient of determination (r) from the regression of variance explained on physical length.
Nevertheless, the relationship between variance and average abundance is settled for a Poisson distribution, the variance is equal to the mean.
At first glance, there appeared to be a positive relationship between variance in intron length and genetic p-distance among taxa (r = 0.20, p-distance; Figure 2).
The relationship between variance explained and chromosome length for number of teats in the Large White population, backfat in the Landrace population, and lifetime daily gain in the Pietrain population using MADI is illustrated in Figure 1.
Relationships between mean, variance, and skewness were investigated for the 1,001 organisms with dispersion >1 for which nonzero means and variance were obtained for >3 half-years.
Our criterion was that the relationships between mean, variance, and skewness should be adequately described.
