In extreme value statistics, the extreme value index is a well-known parameter to measure the tail heaviness of a distribution. Pareto-type distributions, with strictly positive extreme value index (or tail index) are considered. The most prominent extreme value methods are constructed on efficient maximum likelihood estimators based on specific parametric models which are fitted to excesses ov...

Modelling the tails of distributions is important in many fields, such as environmental science, hydrology, insurance, engineering and finance, where the risk of unusually large or small events are of interest. This thesis applies extreme value models in neonatal and finance studies and develops novel extreme value modelling for financial applications, to overcome issues associated with the dep...

The goal of this investigation is to study the effect of wing sweep angle on the horizontal wing-body- tail configurations in subsonic flow. For this purpose, a series of wind tunnel tests were conducted on a model having a moveable horizontal tail and a wing planform with different sweep angles. Tests were performed at different tail deflection angles. Static surface pressure distribution over...

Consider an investment portfolio that is crucially important for economic security and hence requires a prudent examination of discounted losses. Due to domino effects during financial crises or pandemics, individual losses may highly interplay exhibit strong coherence in the extremal dependence structure. Under framework upper tail comonotonicity, we carry out some asymptotic studies aggregate...

plasma renin activities (PPA) were measured before treatment and 5 weeks and 10 weeks after the beginning of the administration of the above-mentioned diet. The data were compared with those of non-treated age-matched SHR controls. Each group consisted of more than 8 SHRs and blood samples were taken immediately after decapitation. PCA was measured by double isotope derivative method and PRA by...

s for the PhD Course on Extremes in Space and Time, May 27-30 Extremes and sums of regularly varying observations Bojan Basrak (University of Zagreb) In the first part, we show how the dependence structure of extremes in a stationary regularly varying sequence can be described, using the concept of the tail process. This is illustrated on some standard time series models. In the second part, we...