Theory and Practice of Risk Assessment - ICRA 5, Tomar, Portugal, 2013

This book covers the latest results in the field of risk analysis. Presented topics include probabilistic models in cancer research, models and methods in longevity, epidemiology of cancer risk, engineering reliability and economical risk problems. The contributions of this volume originate from the 5th International Conference on Risk Analysis (ICRA 5). The conference brought together researchers and practitioners working in the field of risk analysis in order to present new theoretical and computational methods with applications in biology, environmental sciences, public health, economics and finance.

List of contents

Part I Risk Methods for Bioinformatics.- Part II Risk Methods for Management and Industry.

Summary

This book covers the latest results in the field of risk analysis. Presented topics include probabilistic models in cancer research, models and methods in longevity, epidemiology of cancer risk, engineering reliability and economical risk problems. The contributions of this volume originate from the 5th International Conference on Risk Analysis (ICRA 5). The conference brought together researchers and practitioners working in the field of risk analysis in order to present new theoretical and computational methods with applications in biology, environmental sciences, public health, economics and finance.

Product details

• Assisted by: Teres A Oliveira (Editor), Teresa A Oliveira (Editor), Sneh Gulati (Editor), Christos Kitsos (Editor), Christos P. Kitsos (Editor), Teresa Oliveira (Editor), Teresa A. Oliveira (Editor), Alexandros Rigas (Editor), Alexandros Rigas et al (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Released: 01.01.2015
• EAN: 9783319180281
• ISBN: 978-3-31-918028-1
• No. of pages: 412
• Dimensions: 162 mm x 26 mm x 242 mm
• Weight: 748 g
• Illustrations: XVI, 412 p. 100 illus., 56 illus. in color.
• Series: Springer Proceedings in Mathematics & Statistics; Springer Proceedings in Mathematics & Statistics
• Subject: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics