Recent Studies on Risk Analysis and Statistical Modeling

• Corporate Author: SpringerLink (Online service)
• Other Authors: Oliveira, Teresa A. (Editor, http://id.loc.gov/vocabulary/relators/edt), Kitsos, Christos P. (Editor, http://id.loc.gov/vocabulary/relators/edt), Oliveira, Amílcar (Editor, http://id.loc.gov/vocabulary/relators/edt), Grilo, Luís (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Contributions to Statistics,
• Subjects: Statistics .; Quality control.; Reliability.; Industrial safety.; Statistical Theory and Methods.; Statistics for Life Sciences, Medicine, Health Sciences.; Quality Control, Reliability, Safety and Risk.; Statistics for Business, Management, Economics, Finance, Insurance.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
• Physical Description: XVI, 375 p. 86 illus., 33 illus. in color. online resource.
• ISBN: 9783319766058
• ISSN: 1431-1968
• DOI: 10.1007/978-3-319-76605-8

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.