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Distribution of a random variable conditional on its being a maximum or not

Consider the random variables $\epsilon_1,\dots, \epsilon_D$ defined on the probability space $(\Omega, \mathcal{F}, P)$. Assume they are continuous. Let $$ Y=\sum_{d=1}^D d\times \mathbb{1}\{\...
Star's user avatar
  • 935
1 vote
0 answers
30 views

Multinomial Logit Extension

The derivation of the multinomial logit probabilities depends on the difference of two Type 1 extreme value (Gumbel) random variables following a logistic distribution. We say the unobserved utility ...
Adarsh Nayak's user avatar
0 votes
0 answers
31 views

Validity of bootstrapping for estimation of annual maxima distribution

I am working with a large timeseries (millions data points) spread across 5 years from which I would like to estimate the annual maxima distribution and subsequently a quantile of this distribution. ...
Matthias's user avatar
0 votes
0 answers
57 views

Empirically estimating extremal coefficient using minima of Fréchet margins

I recently came across a paper which uses the following formula to empirically estimate the extremal correlation coefficient $\chi_{ij}$ between two variables $x$ and $y$ as follows: $$ \chi_{xy} = \...
ThreeOrangeOneRed's user avatar
1 vote
0 answers
48 views

How to calculate Gumbel with LMoments and GEV with method of moments

I need to calculate the values for certain return periods of a flood event (up to 5000). It has to be GEV with method of moments and Gumbel with L-Moments. But I am not sure about how to calculate ...
Ben_1801's user avatar
2 votes
0 answers
84 views

Calculating confidence Interval for a return time curve, via non-parametric bootstrapping

I have some precipitation data (yearly extremes), which I have fit with a Gumbel distribution (CDF), from which I have calculated a return time distribution. I want to calculate the 95% confidence ...
Anna's user avatar
  • 21
0 votes
1 answer
198 views

Fitting Gumbel distribution based the maximal observation

Assume that we only consider $$G(x)=\exp(-\exp(\frac{x-\mu}{\sigma}))$$ is the Gumbel distribution. Question: Suppose we have a set of maximum values $\{Y_i\}_{i=1}^m$, why can the article directly (...
Hermi's user avatar
  • 747
4 votes
1 answer
540 views

Can we fit extreme value distribution by build-in package?

I try to find a package in R to fit Gumbel distribution by Block Maxima Approach using maximal likelihood function (see here) $$ G(x; \mu , \sigma)=\exp[-e^{-\frac{x-\mu}{\sigma}}]. $$ The block ...
Hermi's user avatar
  • 747
2 votes
1 answer
398 views

Why does Gumbel distribution have two different expressions?

Let $X_1,X_2,\dots,X_n$ be iid random variables with distribution function $F(x)$ and $M_n:=\max\{X_1,\dots,X_n\}$. By the extreme value theorem, there exist two sequences of real numbers $a_n>0$ ...
Hermi's user avatar
  • 747
2 votes
2 answers
235 views

Fourth class of extreme-value distributions?

The generalized extreme-value distribution encompasses three classes of distributions: Frechet, which are regularly varying, infinite right limit. Gumbel, which are not regularly varying, infinite ...
Isambard Kingdom's user avatar
0 votes
0 answers
417 views

KL divergence for Generalized Extreme Value distribution

I have found a derivation for the Kullback–Leibler divergence between 2 Gumbel distributions here: http://www.mast.queensu.ca/~communications/Papers/gil-msc11.pdf on page 64 That document also has a ...
Jed's user avatar
  • 61
2 votes
1 answer
395 views

Convergence maximum of Normal rv to gumbel through simulation (metropolis hastings)

I would like to see the convergence of an order statistic to its respective Extreme Value attractor by simulating with the Metropolis Hastings algorithm (I am self-studying MCMC algos). I was trying ...
Vittorio Apicella's user avatar
3 votes
0 answers
555 views

Convergence rate of the maximum of Weibull random variables to a Gumbel distribution

Given a sequence of iid samples $X_1, \dots, X_n,$ where each $X_i$ comes from a Weibull distribution with shape parameter $k$ and scale parameter $\lambda$. Then it is a well-known result that the ...
jfiedler's user avatar
1 vote
1 answer
95 views

Simulating Draws of Multivariate EV-Type Distribution

Let $\varepsilon = [\varepsilon_1,...,\varepsilon_J]$ be a random vector that we can partition into $K$ disjoint subvectors. $\varepsilon$ has this cdf: \begin{equation} F(\varepsilon) = \exp \bigg[-\...
Matt's user avatar
  • 11
0 votes
1 answer
159 views

Interpretation of a Gumbel distribution's results

I am using (essentially) the approach outlined in the paper "Statistical-based WCET estimation and validation" (http://drops.dagstuhl.de/opus/volltexte/2009/2291/pdf/Hansen.2291.pdf) to build a Gumbel ...
adrianmcmenamin's user avatar
7 votes
1 answer
1k views

Extreme Value Theory - domains of attraction and techniques for evaluting a limit

We consider the gamma uniform G distribution as specified by Torabi and Montazeri: $$f(x) = \frac{1}{\Gamma (a)}\frac{g(x)}{[1-G(x)]^2}\left[\frac{G(x)}{1-G(x)}\right]^{a-1}\exp\left[\frac{G(x)}{1-G(x)...
Will's user avatar
  • 309
2 votes
0 answers
135 views

Interpret the result of a fitted non-stationary Gumbel model

I have a dataset on wildfires that I fitted to a Gumbel distribution with a set of covariates (using the gevrFit function in the eva package in R). The result of ...
nilesguo's user avatar
5 votes
1 answer
487 views

Extreme value theory: show that $ \lim_{n\rightarrow \infty}a_n $ exists and is finite

Well known facts in extreme value theory: Let $\{X_i\}_{\forall i \in \{1,...,n\}}$ be i.i.d. random variables with cdf $F$. If there exists $\{a_n\}_{n\in \mathbb{N}}>0$, and $\{b_n\}_{n\in \...
Star's user avatar
  • 935
1 vote
0 answers
364 views

Normalising constant of the Gumbel in extreme value theory

Well known facts in extreme value theory: Let $\{X_i\}_{\forall i \in \{1,...,n\}}$ be i.i.d. random variables with cdf $F$. If there exists $\{a_n\}_{n\in \mathbb{N}}>0$, and $\{b_n\}_{n\in \...
Star's user avatar
  • 935
4 votes
0 answers
189 views

Extreme value distribution for univariate normal: Derive parameters of the Gumbel [duplicate]

I have a question regarding the extreme value distribution corresponding to i.i.d. samples $X_i$ from a normal distribution, say $X_i\sim N(\mu, \sigma^2)$. According to the theorem of Fisher-Tippett-...
ge.org's user avatar
  • 41
4 votes
2 answers
121 views

Extreme value distribution with unknown variance

Let $\{X_1,\ldots,X_n\}$ be a sequence of r.v. such that $X_i\sim N(0,\sigma^2)$. It is usually stated in Extreme Value Theory textbooks that (for suitably chosen $a_n$ and $b_n$) $$\mathbb{P}\left(\...
Mur1lo's user avatar
  • 1,385
1 vote
0 answers
322 views

Weibull, Gumbell and Extreme Value: from mean and variance to shape, scale and location parameter

I need to sample random numbers from Weibull, Gumbel and Generalized extreme value distributions. Of all of these distributions I know mean and variance. My question is: how can I determine these ...
Patapunfate's user avatar
3 votes
0 answers
1k views

Confidence intervals for extreme value distributions

I have wind data that i'm using to perform extreme value analysis (calculate return levels). I'm using R with packages 'evd', 'extRemes' and 'ismev'. I'm fitting GEV, Gumbel and Weibull distributions,...
Fernando's user avatar
  • 951