Rainfall Intensity–Duration–Frequency (IDF) curves are among the most essential datasets
used in water resources management across the globe. Traditionally, they are derived from …

This paper presents an extension of the generalized extreme value (GEV) distribution,
based on the TX family of distributions: Gompertz-generated family of distributions that make …

Superixel is one of the most efficient of the image segmentation approaches that are widely
used for different applications. In this paper, we developed an image segmentation based …

The premise of extreme value theory focuses on the stochastic behaviour and occurrence of
extreme observations in an event that is random. Traditionally for univariate case, the …

Modeling extreme latencies in communication net-works can contribute information to
network planning and flow admission under service level agreements. Extreme Value …

Asymmetrical models like the generalized and q-generalized extreme value distributions
have been widely used to describe a variety of random events observed in studies including …

This paper introduces the q-analogues of the generalized extreme value distribution and its
discrete counterpart under power normalization. The inclusion of the parameter q enhances …

Malaysia is one of the world's highest lightning regions, making it an ideal location for
studying lightning activities, as they cause many power outages on overhead transmission …

The transmuted generalized extreme value (TGEV) distribution was first introduced by Aryal
and Tsokos (Nonlinear Analysis: Theory, Methods & Applications, 71, 401-407, 2009) and …

Extreme value theory has constructed asymptotic properties of the sample maximum. This
article concerns probability distribution estimation of the sample maximum. The traditional …