### Statistical Modeling of Spatial Extremes

The areal modeling of the extremes of a natural process such as rainfall or temperature is important in environmental statistics; for example, understanding extreme areal

SteamAdm

The areal modeling of the extremes of a natural process such as rainfall or temperature is important in environmental statistics; for example, understanding extreme areal

SteamAdm

Rejoinder to “Statistical Modeling of Spatial Extremes” by A. C. Davison, S. A. Padoan and M. Ribatet [arXiv:1208.3378].

SteamAdm

This article considers the estimation of the number of severely disabled people using data from the Italian survey on Health Conditions and Appeal to Medicare.

SteamAdm

Nonresponse is present in almost all surveys and can severely bias estimates. It is usually distinguished between unit and item nonresponse: in the former, we

SteamAdm

We study a class of conditional independence models for discrete data with the property that one or more log-linear interactions are defined within two different

SteamAdm

In geostatistics, it is common to model spatially distributed phenomena through an underlying stationary and isotropic spatial process. However, these assumptions are often untenable in

SteamAdm

A problem of goodness-of-fit test for ergodic diffusion processes is presented. In the null hypothesis the drift of the diffusion is supposed to be in

SteamAdm

A nonparametric kernel density estimator for directional-linear data is introduced. The proposal is based on a product kernel accounting for the different nature of both

SteamAdm

Parametric inference for spatial max-stable processes is difficult since the related likelihoods are unavailable. A composite likelihood approach based on the bivariate distribution of block

SteamAdm

The study of environmental problems usually requires the description of variables with different nature and the assessment of relations between them. In this work, an

SteamAdm

A new plug-in rule procedure for bandwidth selection in kernel circular density estimation is introduced. The performance of this proposal is checked throughout a simulation

SteamAdm

Smoothing methods and SiZer (SIgnificant ZERo crossing of the derivatives) are useful tools for exploring significant underlying structures in data samples. An extension of SiZer

SteamAdm

An interesting statistical problem is to find regions where some studied process exceeds a certain level. Estimating such regions so that the probability for exceeding

SteamAdm

The article studies non-Gaussian extensions of a recently discovered link between certain Gaussian random fields, expressed as solutions to stochastic partial differential equations (SPDEs), and

SteamAdm

A universal generator for integer-valued square-integrable random variables is introduced. The generator relies on a rejection technique based on a generalization of the inversion formula

SteamAdm

Despite the huge amount of literature on h-index, few papers have been devoted to the statistical analysis of h-index when a probabilistic distribution is assumed

SteamAdm

The estimation of the total of an attribute defined over a continuous planar domain is required in many applied settings, such as the estimation of

SteamAdm

This paper addresses the problem of recovering the spatial market potential of a retail product from spatially distributed sales data. In order to tackle the