Sentence examples for maximum possible variance from inspiring English sources

W is an index that measures the ratio of the observed variance of the sum of ranks to the maximum possible variance of sum of ranks.

The reason for which we add these three and four SCPs cases is to obtain an estimate of the maximum possible variance reduction when many site parameters are known.

The scores are given by t k (i =x (i ·w (k) for i=1, …, n and k=1, …, m in a way that the individual variables of t capture successively the maximum possible variance from x, with each loading vector w constrained to be a unit vector [3].

Overall, the largest reduction is observed for the "reference" model accounting simultaneously for the four SCPs, followed by the three best SCPs model combining the use of [V S30, f 0, H 800]; it is noteworthy, however, that such "maximum possible" variance reduction does not exceed 1.5% for PGA (Table 3) and 4% for short periods around 0.08 s, while it reaches 29% around 0.4 s.

Environmental variances of the binary demographic rates were rescaled by first calculating the ratio σ2e/(p×(1−p)), where σ2e is the temporal environmental variance as calculated above, and p×(1−p) is the maximum possible variance for a rate (where p is the overall value for the rate in the population [45]).

FA modeling allows estimation of G ^ (i.e., ΛΛT) that contains the maximum possible variance estimable given the data and thus provides the best possible estimate of G with which to subsequently assess its potential to generate evolutionary constraint (see below).

The result of the PC analysis is a new set of synthetic uncorrelated variables, i.e., the PCs, which each explains the maximum possible amount of variance.

From the remaining data variance -after the removal of the first PC- a second PC that is completely uncorrelated with – i.e. orthogonal to – the first one is extracted, and accounts for the maximum possible remaining dataset variance.

Kendall's W statistic is simply the variance of the row sums of ranks R j divided by the maximum possible value that this variance can take, which occurs when all data matrices are in total agreement.

An objective approach to judge the size of this effect is to compare the square of this maximum possible improvement with the variance of the fitness distribution which is 0.27 (see also [7] for a similar value determined for the last 23 seasons).

We think that post-zygotic selection is unlikely as it relies on sex-biased embryonic mortality, which is constrained by the extent of sex dimorphism and its variance, as well as by the maximum possible reduction in blastocyst numbers [24].