Titlebook: Mathematical and Statistical Methods for Insurance and Finance; Cira Perna,Marilena Sibillo Conference proceedings 2008 Springer-Verlag Mi

Aids209

Bounds for Concave Distortion Risk Measures for Sums of Risks,ice of the context of where to set the problem, namely that of distortion risk measures, we first deduce an explicit formula for the risk measure of a discrete risk by referring to its writing as sum of layers. Then, we examine the case of sums of discrete risks with identical distribution. Upper an

Cloudburst

Binge-Drinking

FFT, Extreme Value Theory and Simulation to Model Non-Life Insurance Claims Dependences,and Monte Carlo simulation) to model non-life insurance company aggregate losses, taking into account the need for Internal Risk Model development in the light of Solvency II European project. In particular EVT permits the definition of the truncation point between small and large claims. Two-dimens

言外之意

恃強凌弱的人

Isthmus

Remarks on Insured Loan Valuations,the cash flow structure as a basis, the aim is the evaluation of the mathematical provision of a portfolio in a fair value approach. In this environment, the complexity of the life insurance contract market leads to practical valuation management focused on the choice of the most suitable mortality

冒號

極端的正確性

Generalized Influence Functions and Robustness Analysis, by the derivative of a statistic at an underlying distribution and it describes the effect of an infinitesimal contamination at point . on the estimate we are considering. We propose a new approach which can be used whenever the derivative doesn’t exist. We extend the definition of influence functi

oblique

Neural Networks for Bandwidth Selection in Non-Parametric Derivative Estimation,and analyze time series which are realizations of strictly stationary processes. We consider the estimation of the first derivative of the conditional mean function for a non-linear autoregressive model. First of all, we emphasize the role assumed by the smoothing parameter, by showing how the choic

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