Modelling Under Risk and Uncertainty

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Modelling Under Risk and Uncertainty goes beyond the 'black-box' view that some risk analysts or statisticians develop the underlying phenomenology of the environmental or industrial processes, without valuing enough their physical properties and inner modelling potential, conversely it is also to attract environmental or engineering modellers to more elaborate statistical and risk analysis material beyond for example, elementary variance analysis, taking advantage of advanced scientific computing, to face new regulations departing from deterministic design or decision-making. Modelling Under Risk and Uncertainty: * Addresses a concern of growing interest for large industries or environmentalists: risk and uncertainty in complex systems. * Gives news insight in to the peculiar mathematical challenges generated by recent industrial safety or environmental control analysis. * Looks at implementing decision theory choices related to risk and uncertainty analysis through statistical estimation and computation, in the presence of physical modelling and risk analysis. * Discusses key issue of differentiating or aggregating the dimensions of risk/aleatory and epistemic uncertainty. * Illustrated with one favourite pedagogical example developed throughout the book to facilitate the reading and understanding. Researchers in applied statistics, scientific computing, reliability, advanced mechanics, physics or environmental science will benefit from this book.