Erratum to: Modeling clusters of extreme values

An Introduction to Statistical Modeling of Extreme Values

Bayesian analysis of extreme values by mixture modeling

Modeling of extreme values in the presence of heterogeneity is still a relatively unexplored area. We consider losses pertaining to several related categories. For each category, we view exceedances over a given threshold as generated by a Poisson process whose intensity is regulated by a specific location, shape and scale parameter. Using a Bayesian approach, we develop a hierarchical mixture ...

Chemical Trees with Extreme Values of Zagreb Indices and Coindices

We give sharp upper bounds on the Zagreb indices and lower bounds on the Zagreb coindices of chemical trees and characterize the case of equality for each of these topological invariants.

Calibration Weighting to Compensate for Extreme Values, Non-response and Non-coverage in Labor Force Survey

Frame imperfection, non-response and unequal selection probabilities always affect survey results. In order to compensate for the effects of these problems, Devill and Särndal (1992) introduced a family of estimators called calibration estimators. In these estimators we look for weights that have minimum distance with design weights based on a distance function and satisfy calibration equa...

Modeling extreme values of processes observed at irregular time steps: application to significant wave height

This work was motivated by the analysis of the extremal behavior of buoy and satellite data describing wave conditions in the North Atlantic Ocean. The available datasets consist of time series of significant wave height (Hs) with irregular time sampling. In such a situation, the usual statistical methods available for analyzing extreme values cannot be used directly. The method proposed in thi...