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Note that because the variance is not statistically equal to the average, we do not adopt a Poisson distribution.
Statistical analyses in this study were performed on log-transformed peak areas, because the variance is stabilized (i.e., constant as a function of intensity) on this scale for these data.
This equation often assumes a log function ln[h] (because the variance is >0).
Because the variance is invariant with respect to transposition of females and males, we consider only females without loss of generality.
Because the variance is of order ℓ, we thus have the important result that the mean approaches the optimum faster if a larger number of loci is involved.
Because the variance is invariant with respect to exchanging the source populations or the sexes, the six-dimensional parameter space has a number of symmetries.
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Of course, it is the estimate of the standard error that is of prime interest to the user of inventory because it, rather than the variance, is used in determining the confidence limit of the estimate.
For PLS-PM, no global goodness-of-fit criterion exists because it is assumed that the variance is distribution free.
The Euclidean distance is increased because there are more cases where the variance is the summation of the individual symbol constellation points, rather than the difference, i.e. n t = n ̂ t occurs less frequently.
However, the variance is unknown because N is unknown.
The variance is low, because data of all Dutch GPs is used to make projections.
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