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Obviously, although at i >> a, a generalized Pareto distribution becomes indistinguishable from a power law, at small i, it deviates significantly, the magnitude of the deviation depending on the value of a. Furthermore, unlike power law distributions, generalized Pareto distributions do not show scale-free properties.
At large i (i >> a), this distribution is indistinguishable from a power law, but at small i, it deviates substantially, with the magnitude of the deviation depending on a. Power law distributions and the associated scale-free networks are compatible with the intuitively plausible mechanism of evolution by preferential attachment although other modes of evolution are also possible [ 9, 14].
Technically, we generate 1,000 replicas of the analysed dataset by perturbing each prediction with an amount of Gaussian noise with a magnitude (standard deviation) depending on the estimated accuracy of the prediction.
A new concept of Trust Factor was introduced to affect the uncertainty related to each test results, translated by their standard deviation, depending on the higher or lower reliability of each test to predict a certain parameter.
The ratio of the two sugars (mannuronic/guluronic acids) is generally 1.5, with some deviation depending on the source [ 20].
Application to PRALIMAP confirms our hypothesis of strong implementation variability between IRG, with deviation depending on period and intervention strategy.
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The window spread or standard deviation depends on f.
The magnitude of the deviation depends on several factors and is in general not predictable.
This deviation depends on the shock Mach number; for the worst case it is 4.6%.
The magnitude of deviation depends on the time when the well is logged.
The deviation depends on the size of the effects on both traits and on the fraction of grandsires heterozygous for the QTL.
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