UID/MAT/00006/2019 (CEAUL) and UID/MAT/0297/2013 (CMA/UNL).Extreme Value Theory has been asserting itself as one of the most important statistical theories for the applied sciences providing a solid theoretical basis for deriving statistical models describing extreme or even rare events. The efficiency of the inference and estimation procedures depends on the tail shape of the distribution underlying the data. In this work we will present a review of tests for assessing extreme value conditions and for the choice of the extreme value domain. Motivated by two real environmental problems we will apply those tests showing the need of performing such tests for choosing the most appropriate parameter estimation methods.publishersversionpublishe
Rare events are part of the real world but inevitably environmental extreme events may have a massiv...
Rare events are part of the real world but inevitably environmental extreme events may have a massiv...
Extreme value (EV) theory has raised researcher intention for modeling and forecasting of catastroph...
Extreme value theory concerns the behavior of the extremes of a process or processes. The fundamenta...
• The aim of this paper is to give a brief overview about several tests published in the context of ...
It is our aim in this presentation to give a brief overview about several tests pub-lished in the co...
Although the fundamental probabilistic theory of extremes has been well developed, there are many pr...
The statistical analysis of extreme data is important for various disciplines, including hydrology, ...
Extreme value theory is a modern statistical method for modelling events with a very low probability...
Research in the statistical analysis of extreme values has flourished over the past decade: new prob...
Several parametric families of multivariate extreme value distributions (Hüsler and Reiss 1989, Tawn...
The commonly used procedure for estimating the Extreme Value distribution of a sequence of measureme...
The thesis is focused on extreme value distributions and their applications. Firstly, basics of the ...
While much effort in the development of statistical methods aims at characterising some properties o...
• This review paper focuses on statistical issues arising in modeling univariate extremes of a rando...
Rare events are part of the real world but inevitably environmental extreme events may have a massiv...
Rare events are part of the real world but inevitably environmental extreme events may have a massiv...
Extreme value (EV) theory has raised researcher intention for modeling and forecasting of catastroph...
Extreme value theory concerns the behavior of the extremes of a process or processes. The fundamenta...
• The aim of this paper is to give a brief overview about several tests published in the context of ...
It is our aim in this presentation to give a brief overview about several tests pub-lished in the co...
Although the fundamental probabilistic theory of extremes has been well developed, there are many pr...
The statistical analysis of extreme data is important for various disciplines, including hydrology, ...
Extreme value theory is a modern statistical method for modelling events with a very low probability...
Research in the statistical analysis of extreme values has flourished over the past decade: new prob...
Several parametric families of multivariate extreme value distributions (Hüsler and Reiss 1989, Tawn...
The commonly used procedure for estimating the Extreme Value distribution of a sequence of measureme...
The thesis is focused on extreme value distributions and their applications. Firstly, basics of the ...
While much effort in the development of statistical methods aims at characterising some properties o...
• This review paper focuses on statistical issues arising in modeling univariate extremes of a rando...
Rare events are part of the real world but inevitably environmental extreme events may have a massiv...
Rare events are part of the real world but inevitably environmental extreme events may have a massiv...
Extreme value (EV) theory has raised researcher intention for modeling and forecasting of catastroph...