Non-metallic inclusions influence the properties of steel and finished steel products. The methods relating to statistics of extremes are effective for the purpose of predicting the size of the maximum inclusion, which is an important parameter in the quality control and lifetime estimation. A steel sample with two types of inclusions is used to demonstrate the use of the extreme value theory i...

Extreme Value distributions arise as limiting distributions for maximums or minimums (extreme values) of a sample of independent, identically distributed random variables, as the sample size increases. Extreme Value Theory (EVT) is the theory of modelling and measuring events which occur with very small probability. This implies its usefulness in risk modelling as risky events per definition ha...

The spatial modeling of extreme snow is important for adequate risk management in Alpine and high altitude countries. A natural approach to such modeling is through the theory of max-stable processes, an infinitedimensional extension of multivariate extreme value theory. In this paper we describe the application of such processes in modeling the spatial dependence of extreme snow depth in Switz...

the sealness of wilayah is one of the most important and challenging issues discussed by muslim mystics, and has been discussed by the likes of ibn ‘arabi. like other mystics, ibn ‘arabi divides wilayah into two types: absolute and limited. however, his ideas with regards to instances of absolute wilayah and limited wilayah diverge from the norm. sometimes this divergence is so extreme that acc...

BACKGROUND Several studies have investigated the association between asthma exacerbations and exposures to ambient temperature and precipitation. However, limited data exists regarding how extreme events, projected to grow in frequency, intensity, and duration in the future in response to our changing climate, will impact the risk of hospitalization for asthma. The objective of our study was to...

Management of operational risk is of prime importance in riskmanagement for commercial banks, and many theoretical and practical studies of operational risk management have been carried out. Conditional value-at-risk (CVaR) models based on the peak value method of extreme value theory are used here tomeasure operational risk. Loss data for commercial banks are used in an empirical analysis. Tes...