The accurate estimation of extreme precipitation frequency relies heavily on the quality of
precipitation data. Conventional rain gauges provide in-situ observations, but they are …

Nonlinear, non-Gaussian, and dynamic features pose a great challenge for complex fault
detection and fault diagnosis (FDD). Focusing on fault detection, independent component …

Stagflation periods are rare events characterized by the combination of opposite cyclical
movements: the (late) upswing phase of inflation and the downswing phase of growth …

The variability of coastal storms over the years and direction is considered in a unified,
innovative approach, providing crucial information for a wide variety of coastal engineering …

In this work, a new heavy‐tailed Lomax model is proposed for the reliability and actuarial
risk analysis. Simulations are conducted to investigate how the estimators behave …

In recent years, the intersection of self‐efficacy and technological readiness has become
increasingly relevant in educational research, particularly within specialised fields like music …

Abstract The Peaks Over Threshold (POT) model has emerged as a highly promising
approach for estimating crucial market risk metrics like Expected Shortfall and Value at Risk …

Exploring the variability in design wave heights through extreme value analysis is crucial for
understanding extreme oceanographic conditions and is paramount for the safe design and …

Extreme value theory (EVT) has emerged as one of the most important statistical disciplines
for predicting the probability of unusual events from observed outliers. In the context of this …

Estimating the threshold for extreme values is essential for anticipating and managing rare
and impactful events. This paper discusses four different graphical methods of estimating …