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Probability theory is an ideal discipline for applications of time scales since random variables and distributions functions can be described with either discrete or continuous cases.
The Kolmogorov Smirnov test was used to assess differences in cumulative distributions functions.
For the non-statistically significant comparison, there was no difference between the empirical distributions functions for all probes.
Note that the pseudocount can be omitted, because P-values of zero can no longer occur when M>0. Since when M≥10 we can reliably compute P′ecdf and its confidence bounds, we propose the following algorithm: Seven different distributions functions, ranging from light-tailed to heavy-tailed, were employed to test the GPD approximation.
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The Times, as the senior partner, runs the advertising, circulation and distribution functions of both morning newspapers.
electron velocity distribution functions.
Dislocation orientation distribution functions.
Cumulative distribution functions are Gaussian.
The distribution functions of Eqs.
b Empirical cumulative distribution functions (CDFs).
Three statistical distribution functions are compared.
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