• One common way to deal with extreme value analysis in spatial statistics is by using the max-stable process. By employing a representation of simple max-stable processes in de Haan and Ferreira ([3]), we propose a stationary max-stable process as a model of the dependence structure in two-dimensional spatial problems. We calculate its two-dimensional marginal distributions, which creates the opportunity to estimate the dependence parameter. The model is used in Buishand, de Haan and Zhou ([1]) for a spatial rainfall problem. Key-Words: • spatial extremes; max-stable process
The areal modeling of the extremes of a natural process such as rainfall or temperature is important...
Max-stable processes allow the spatial dependence of extremes to be modelled and quantified, so they...
Spatial extreme value analysis has been an area of rapid growth in the last decade. The focus has be...
Environmental problems such as floods require statistical analysis that takes into account the compl...
Extreme environmental phenomena such as major precipitation events manifestly exhibit spatial depend...
textabstractThe aim of this paper is to provide models for spatial extremes in the case of stationar...
I From heat waves to hurricanes, often the environmental processes that are the most critical to und...
The extremes of environmental processes are often of interest due to the damage that can be caused b...
Max-stable processes play a fundamental role in modeling the spatial dependence of extremes because ...
Projection of future extreme events is a major issue in a large number of areas including the enviro...
Max-stable processes are natural models for spatial extremes because they provide suit-able asymptot...
The analysis of spatial extremes requires the joint modeling of a spatial process at a large number ...
The last decade has seen max-stable processes emerge as a common tool for the statistical modeling o...
Abstract Spatial modeling of rare events has obvious applications in the environ-mental sciences and...
AbstractSpatial statistics deals with statistical methods in which spatial locations play an explici...
The areal modeling of the extremes of a natural process such as rainfall or temperature is important...
Max-stable processes allow the spatial dependence of extremes to be modelled and quantified, so they...
Spatial extreme value analysis has been an area of rapid growth in the last decade. The focus has be...
Environmental problems such as floods require statistical analysis that takes into account the compl...
Extreme environmental phenomena such as major precipitation events manifestly exhibit spatial depend...
textabstractThe aim of this paper is to provide models for spatial extremes in the case of stationar...
I From heat waves to hurricanes, often the environmental processes that are the most critical to und...
The extremes of environmental processes are often of interest due to the damage that can be caused b...
Max-stable processes play a fundamental role in modeling the spatial dependence of extremes because ...
Projection of future extreme events is a major issue in a large number of areas including the enviro...
Max-stable processes are natural models for spatial extremes because they provide suit-able asymptot...
The analysis of spatial extremes requires the joint modeling of a spatial process at a large number ...
The last decade has seen max-stable processes emerge as a common tool for the statistical modeling o...
Abstract Spatial modeling of rare events has obvious applications in the environ-mental sciences and...
AbstractSpatial statistics deals with statistical methods in which spatial locations play an explici...
The areal modeling of the extremes of a natural process such as rainfall or temperature is important...
Max-stable processes allow the spatial dependence of extremes to be modelled and quantified, so they...
Spatial extreme value analysis has been an area of rapid growth in the last decade. The focus has be...