This paper presents an extension of the generalized extreme value (GEV) distribution, based on T-X family distributions: Gompertz-generated distributions that make existing distribution more flexible called Gompertz-general (Go-GEV) distribution. Some properties proposed are introduced, and a new is applied to actual data, namely rainfall in Lopburi Province, by comparing model with traditional...

In recent research on extreme value statistics, there has been an extensive development of threshold methods, first in the univariate case but subsequently in the multivariate case as well. In this paper, we develop an alternative methodology for extreme values of univariate time series, by assuming that the time series is Markovian and using bivariate extreme value theory to suggest appropriat...

Extreme Value Theory is the branch of statistics that is used to model extreme events. The topic is of interest to meteorologists because much of the recent literature on climate change has focussed on the possibility that extreme events (very high or low temperatures, high precipitation events, droughts, hurricanes etc.) may be changing in parallel with global warming. As a specific example, t...