MODELLING UNDER RISK AND UNCERTAINTY

The book is to go beyond the black-box view that some risk analysts or statisticians develop on the underlying phenomenology of the environmental or industrial processes, without valuing enough their physical properties and inner modeling potential; conversely it is also to attract environmental or engineering modellers to more elaborate statistical and risk analysis material beyond e.g. elementary variance analysis, taking advantage of advanced scientific computing, to face new regulations departing from deterministic design or decision-making. This book aims at giving a new insight on the peculiar mathematical challenges generated by recent industrial safety or environmental control analysis. Aims to attract greater attention of leading statistical research to new challenges. Centered onto implementing decision theory choices related to risk and uncertainty analysis through statistical estimation and computation, in the presence of physical modelling and risk analysis.