A maioria dos modelos matemáticos desenvolvidos para eventos raros são baseados em modelos probabilísticos para extremos. Embora as ferramentas para modelagem estatística de extremos univariados e multivariados estejam bem desenvolvidas, a extensão dessas ferramentas para modelar extremos espaciais integra uma área de pesquisa em desenvolvimento muito ativa atualmente. A modelagem de máximos sob o domínio espacial, aplicados a dados meteorológicos é importante para a gestão adequada de riscos e catástrofes ambientais nos países que tem a sua economia profundamente dependente do agronegócio. Uma abordagem natural para tal modelagem é a teoria de extremos espaciais e o processo max-stable, caracterizando-se pela extensão de dimensões infinita...
We propose an approach to spatial modeling of extreme rainfall, based on max-stable processes fitted...
I From heat waves to hurricanes, often the environmental processes that are the most critical to und...
In this paper, focus is done on spatial models for extreme events and on their respective efficiency...
A maioria dos modelos matemáticos desenvolvidos para eventos raros são baseados em modelos probabilí...
AbstractSpatial statistics deals with statistical methods in which spatial locations play an explici...
Spatial Statistics 2011Spatial statistics deals with statistical methods in which spatial locations ...
The areal modeling of the extremes of a natural process such as rainfall or temperature is important...
The extremes of environmental processes are often of interest due to the damage that can be caused b...
Extreme environmental phenomena such as major precipitation events manifestly exhibit spatial depend...
• One common way to deal with extreme value analysis in spatial statistics is by using the max-stabl...
Abstract. The areal modeling of the extremes of a natural process such as rainfall or temperature is...
summary:Spatial environmental processes often exhibit dependence in their large values. In order to ...
Max-stable processes play a fundamental role in modeling the spatial dependence of extremes because ...
xtreme value analysis is concerned with the modelling of extreme events such as floods and heatwaves...
Les catastrophes naturelles comme les canicules, les tempêtes ou les précipitations extrêmes, provie...
We propose an approach to spatial modeling of extreme rainfall, based on max-stable processes fitted...
I From heat waves to hurricanes, often the environmental processes that are the most critical to und...
In this paper, focus is done on spatial models for extreme events and on their respective efficiency...
A maioria dos modelos matemáticos desenvolvidos para eventos raros são baseados em modelos probabilí...
AbstractSpatial statistics deals with statistical methods in which spatial locations play an explici...
Spatial Statistics 2011Spatial statistics deals with statistical methods in which spatial locations ...
The areal modeling of the extremes of a natural process such as rainfall or temperature is important...
The extremes of environmental processes are often of interest due to the damage that can be caused b...
Extreme environmental phenomena such as major precipitation events manifestly exhibit spatial depend...
• One common way to deal with extreme value analysis in spatial statistics is by using the max-stabl...
Abstract. The areal modeling of the extremes of a natural process such as rainfall or temperature is...
summary:Spatial environmental processes often exhibit dependence in their large values. In order to ...
Max-stable processes play a fundamental role in modeling the spatial dependence of extremes because ...
xtreme value analysis is concerned with the modelling of extreme events such as floods and heatwaves...
Les catastrophes naturelles comme les canicules, les tempêtes ou les précipitations extrêmes, provie...
We propose an approach to spatial modeling of extreme rainfall, based on max-stable processes fitted...
I From heat waves to hurricanes, often the environmental processes that are the most critical to und...
In this paper, focus is done on spatial models for extreme events and on their respective efficiency...