statistics, the generalized extreme value (GEV) distribution is a family of continuous probability distributions developed within extreme value theory to combine...
26 KB (3,822 words) - 04:28, 3 November 2024
statistics, the Gumbel distribution (also known as the type-I generalized extreme value distribution) is used to model the distribution of the maximum (or...
16 KB (2,309 words) - 13:37, 7 October 2024
of the Fisher–Tippett–Gnedenko theorem, leading to the generalized extreme value distribution being selected for fitting. However, in practice, various...
28 KB (2,729 words) - 05:33, 11 November 2024
In statistics, the generalized Pareto distribution (GPD) is a family of continuous probability distributions. It is often used to model the tails of another...
20 KB (2,757 words) - 16:49, 4 September 2024
Expected shortfall (redirect from Conditional Value-at-Risk)
alternative to value at risk that is more sensitive to the shape of the tail of the loss distribution. Expected shortfall is also called conditional value at risk...
34 KB (6,445 words) - 06:12, 21 April 2024
The Fréchet distribution, also known as inverse Weibull distribution, is a special case of the generalized extreme value distribution. It has the cumulative...
12 KB (1,325 words) - 07:09, 3 October 2024
If the payoff of a portfolio X {\displaystyle X} follows generalized Student's t-distribution with the p.d.f. f ( x ) = Γ ( ν + 1 2 ) Γ ( ν 2 ) π ν σ (...
23 KB (4,680 words) - 04:23, 31 October 2024
Fisher–Tippett, extreme value, or log-Weibull distribution Fisher's z-distribution The skewed generalized t distribution The gamma-difference distribution, which...
22 KB (2,609 words) - 12:49, 10 February 2024
selection, see e.g. Leptokurtic distribution Generalized extreme value distribution Generalized Pareto distribution Outlier Long tail Power law Seven...
19 KB (2,705 words) - 14:30, 22 July 2024
Fisher–Tippett–Gnedenko theorem (category Extreme value data)
Fisher–Tippett theorem or the extreme value theorem) is a general result in extreme value theory regarding asymptotic distribution of extreme order statistics. The...
13 KB (2,173 words) - 08:00, 3 October 2024
The Weibull distribution is a special case of the generalized extreme value distribution. It was in this connection that the distribution was first identified...
38 KB (5,802 words) - 01:11, 23 November 2024
Carolina, United States Gällivare Lapland Airport, in Sweden Generalized extreme value distribution GE Vernova, NYSE stock symbol Gev Sella, Israeli-South African...
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Generalized extreme value distribution Generalized gamma distribution Generalized Gaussian distribution Generalised hyperbolic distribution Generalized inverse...
87 KB (8,285 words) - 04:29, 7 October 2024
where ξ is the shape of the Generalized extreme value distribution which is the extreme value limit of the sampled distribution. (Sources: Matlab "prctile"...
18 KB (2,587 words) - 01:14, 22 December 2023
null-hypothesis significance testing, the p-value is the probability of obtaining test results at least as extreme as the result actually observed, under the...
58 KB (6,996 words) - 14:43, 31 October 2024
parameterisation, similar to that used for the generalized Pareto distribution and the generalized extreme value distribution, gives more interpretable parameters...
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approaches a normal distribution. Just as extreme values of the normal distribution have low probability (and give small p-values), extreme values of the chi-squared...
44 KB (6,564 words) - 06:02, 26 October 2024
rare, extreme values") of the probability distribution, is correct for all distributions including the beta distribution. When rare, extreme values can...
244 KB (40,655 words) - 08:34, 14 November 2024
German tank problem (redirect from Maximum of a discrete uniform distribution)
expected survival time of the human race. Generalized extreme value distribution, possible limit distributions of sample maximum (opposite question). Maximum...
37 KB (6,376 words) - 15:35, 18 October 2024
the generalized beta distribution is a continuous probability distribution with four shape parameters, including more than thirty named distributions as...
20 KB (4,410 words) - 07:32, 24 October 2024
Pareto distributions with shape value (α) of log45 ≈ 1.16 precisely reflect it. Empirical observation has shown that this 80-20 distribution fits a wide...
47 KB (6,031 words) - 09:35, 23 September 2024
{\displaystyle n\rightarrow \infty } , where a generalized binomial distribution is defined as a distribution of the sum of N independent but not identically...
81 KB (11,206 words) - 19:14, 23 November 2024
(possibly) correlated real-valued random variables, each of which clusters around a mean value. The multivariate normal distribution of a k-dimensional random...
65 KB (9,519 words) - 21:04, 16 November 2024
process. The log-logistic distribution has been used in hydrology for modelling stream flow rates and precipitation. Extreme values like maximum one-day rainfall...
19 KB (2,053 words) - 09:15, 4 October 2024
power distribution Fréchet distribution Gamma distribution Generalized extreme value distribution Log-logistic distribution Log-t distribution Inverse-gamma...
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Discrete choice (category CS1: long volume value)
} This distribution is also called the Gumbel or type I extreme value distribution, a special type of generalized extreme value distribution. Train,...
47 KB (6,346 words) - 10:23, 16 May 2024
CumFreq (section Generalizing distributions)
probability distributions are included: normal, lognormal, logistic, loglogistic, exponential, Cauchy, Fréchet, Gumbel, Pareto, Weibull, Generalized extreme value...
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Mean (redirect from Mean value)
the "center" of a collection of numbers and is intermediate to the extreme values of the set of numbers. There are several kinds of means (or "measures...
17 KB (2,198 words) - 05:45, 23 November 2024
statistics, the cumulative distribution function (CDF) of a real-valued random variable X {\displaystyle X} , or just distribution function of X {\displaystyle...
27 KB (4,142 words) - 23:58, 23 November 2024
(or measure of central tendency) is a central or typical value for a probability distribution. Colloquially, measures of central tendency are often called...
13 KB (1,720 words) - 13:56, 19 August 2024