Приклади вживання Extreme value Англійська мовою та їх переклад на Українською
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See Generalized Extreme Value.
Extreme value theory and its application, reliability theory.
The unobserved terms are assumed to have an extreme value distribution.
Novak S.Y.(2011) Extreme Value Methods with Applications to Finance.
In the latter case,the interaction makes it possible to change the extreme values.
We are now about to look at ways to find extreme values(maximum and minimum values) of functions of several variables.
For more severe deviations,the seasons of summer and winter become extreme values.
The extreme value theorem states that for any real continuous function on a compact space its global maximum and minimum exist.
The circuit operates from 5 volts and up to the most extreme values still stand details.
A dispersion fan diagram is a circular diagram which reports the same information about a dispersion as a box plot: namely median,quartiles, and two extreme values.
The immortality of the spirit, the strength of life and the extreme value are distinctive features of the Lynx, a mascot that symbolizes the qualities of the members of the university community.
One example of this is using L-moments as summary statistics in extreme value theory(EVT).
It is characterized by smoothing the extreme values of the climatic characteristics, resulting in the continental air masses passing over the surface of the lake, take the nature of the Maritime air masses.
Gold is one of those seemingly mythicalsubstances that somehow came to be equated with extreme value.
In this context,we shall briefly discuss some probabilistic methods and how the Extreme Value Theorem is used to address the open world classification problem.
The Fréchet distribution, also known as inverse Weibull distribution,[1][2]is a special case of the generalized extreme value distribution.
One first practice I recommend is to explore the extreme values(highest or lowest) for each variable in a dataset, and to then count how many records(rows) are listed within each of the possible values. .
Overall, this giant black hole accounts for 2percent of the total mass of the galaxy,“a rather extreme value,” Saglia says.
A trial may be terminatedearly at an extreme value(often for ethical reasons), but the extreme value is likely to be reached by the variable with the largest variance, even if all variables have a similar mean.
Except average temperature values, thermal characteristics of Kosovowill be better understood in the analyze of extreme values.
Einmahl and his colleagues used a brand of statistics known as Extreme Value Theory to analyze data taken from some 75,000 deceased Dutch persons, each one's exact ages were recorded at the time of death.
McFadden assumed that these randomerrors have a specific statistical distribution(termed an extreme value distribution) in the population.
However, in most hydrological applications,the distribution fitting is via the generalized extreme value distribution as this avoids imposing the assumption that the distribution does not have a lower bound(as required by the Frechet distribution).[citation needed].
To make up for the lack of observational data, Vitousek and his colleagues used computer modelling anda statistical method called extreme value theory.
In the marketswhich follow standards of the Federal commission on communication of the USA(Federal Communications Commission, FCC) with extreme value of equal 1.6 W on kilogram, test result of SAR for Mi A1 made 1.26 W on kilogram(the maximum value)".
The table below gives expressions for the first two L-moments and numerical values of the first two L-moment ratios of some common continuous probability distributions with constant L-moment ratios.[1][5] More complex expressions have been derived for some further distributions for which the L-moment ratios vary with one or more of the distributional parameters, including the log-normal, Gamma, generalized Pareto,generalized extreme value, and generalized logistic distributions.[1].
This application shows the limited robustnessof L-moments, i.e. L-statistics are not resistant statistics, as a single extreme value can throw them off, but because they are only linear(not higher-order statistics), they are less affected by extreme values than conventional moments.
Uniformitarians can“explain” this by assuming that these sedimentation rates were lower than average,which would place the extreme values closer together than expected.
In my view, a practical criterion for determining whether or not this requirement is met is the stability of Lafferpoints over a period of at least three to five years(fluctuations between their extreme values should not exceed 2- 3%).
Discrete choice models take many forms, including: Binary Logit, Binary Probit, Multinomial Logit, Conditional Logit, Multinomial Probit, Nested Logit, Generalized Extreme Value Models, Mixed Logit, and Exploded Logit.