Titlebook: Statistical Modelling and Risk Analysis; Selected contributio Christos P. Kitsos,Teresa A. Oliveira,Marialuisa R Conference proceedings 202

JUST

A Statistical Boost to Assess Water Quality,(Chl-.) is one of the most widely used water quality indicators. Monthly time series of Chl-. from 1998 until 2020 from two sites on the south coast of Portugal, Guadiana and Sagres, are used. Sagres is characterized by strong seasonality, and Guadiana with a weaker seasonal variation. A comparison

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anthropologist

Reliable Alternative Ways to Manage the Risk of Extreme Events,nction, or by the . (CTE), defined as CTE., .. We consider heavy-tailed models, i.e. Pareto-type underlying CDFs, with a positive . (EVI), quite common in many areas of application. For these Pareto-type models, the classical EVI-estimators are the Hill (H) estimators, the average of the . log-exces

Filibuster

On Some Consequences of COVID-19 in EUR/USD Exchange Rates and Economy,il prices have been very volatile and many other economical variables have changed their behavior..We show by application of statistical tests for normality, including QQ-plots and Shapiro-Wilk that exchange rates of EUR to US from 10/13/2019 to 4/9/2020 are substantially deviating from normality an

Lucubrate

Natural Risk Assessment of Italian Municipalities for Residential Insurance, supporting governors in the definition of a natural risk management strategy. To detect the critical areas of the territory, we compute expected losses per square meter, per municipality, and per structural typology. Our approach allows us to identify the areas where the exposure strongly affects t

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Variable Selection in Binary Logistic Regression for Modelling Bankruptcy Risk,company’s insolvency. Meanwhile, one major challenge in constructing predictive failure models is variable selection. Standard selection methods exist alongside new approaches. In addition, the huge availability of data often implies limitations due to processing time and new high-performance proced

uncertain

Operations with Iso-structured Models with Commutative Orthogonal Block Structure: An Introductory the approach to models with commutative orthogonal block structure via algebraic structure it is possible to show that the orthogonal projection matrix in the space spanned by the mean vector commuting with the covariance matrix guarantees least squares estimators giving best linear unbiased estimat

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Laconic

Taxonomy-Based Risk Analysis with a Digital Twin,gap exists between the establishment of an organizational risk culture and the actual preparedness of organizations. The problem is twofold, as in the ongoing trend towards cyber-physical organizations, it touches both risk awareness and the communication about risks, to mitigate them during operati