This book provides an overview of the latest developments in the
field of risk analysis (RA). Statistical methodologies have
long-since been employed as crucial decision support tools in RA.
Thus, in the context of this new century, characterized by a
variety of daily risks - from security to health risks - the
importance of exploring theoretical and applied issues connecting
RA and statistical modeling (SM) is self-evident. In addition to
discussing the latest methodological advances in these areas, the
book explores applications in a broad range of settings, such as
medicine, biology, insurance, pharmacology and agriculture, while
also fostering applications in newly emerging areas. This book is
intended for graduate students as well as quantitative researchers
in the area of RA.
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