scispace - formally typeset
Journal ArticleDOI

Sur La Distribution Limite Du Terme Maximum D'Une Serie Aleatoire

B. W. Gnedenko
- 01 Jul 1943 - 
- Vol. 44, Iss: 3, pp 423
Reads0
Chats0
About
This article is published in Annals of Mathematics.The article was published on 1943-07-01. It has received 2037 citations till now.

read more

Citations
More filters
Journal ArticleDOI

Modelling maximum daily yearly rainfall in northern Algeria using generalized extreme value distributions from 1936 to 2009

TL;DR: In this article, the generalized extreme value distribution was used to model annual maximum daily precipitation, and the return values of this phenomenon were calculated at selected return periods T; for instance, about 100 years must elapse to record a level of 181.9 mm of rainfall per day in Algiers, 173‰mm in Miliana and 109.54µmm in Oran.
Journal ArticleDOI

An Introduction to Bayesian Analysis: Theory and Methods

TL;DR: An Introduction to Bayesian Analysis: Theory and Methods as discussed by the authors is a good starting point for a discussion of Bayesian analysis and its application in the field of statistical analysis, and it can be found in
Journal ArticleDOI

Linking high- and low-temperature plasticity in bulk metallic glasses: thermal activation, extreme value statistics and kinetic freezing

TL;DR: In this article, the deformation properties of bulk metallic glasses are characterized by a sharp transition from elasticity to plasticity, a reproducible yield stress and an approximately linear decrease of this stress with increasing temperature.
Posted Content

The Maximum Lq-Likelihood Method: an Application to Extreme Quantile Estimation in Finance

TL;DR: In this article, a new estimator of the parameters, the Maximum Lq-Likelihood estimator (MLqE), was proposed, which is characterized by a distortion parameter q and extends the traditional log-likelihood maximization procedure.
Journal ArticleDOI

Statistical modeling of ground motion relations for seismic hazard analysis

Mathias Raschke
- 14 May 2012 - 
TL;DR: In this article, a new approach for ground motion relations (GMR) in the probabilistic seismic hazard analysis (PSHA), being influenced by the extreme value theory of mathematical statistics, is introduced.