Statistical Modelling and Risk Analysis
Francesca Pierri (Hrsg.), Christos P. Kitsos (Hrsg.), Marialuisa Restaino (Hrsg.), Teresa A. Oliveira (Hrsg.)
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Springer International Publishing
Naturwissenschaften, Medizin, Informatik, Technik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik
Beschreibung
This volume covers the latest results on novel methods in Risk Analysis and assessment, with applications in Biostatistics (which is providing food for thought since the first ICRAs, covering traditional areas of RA, until now), Engineering Reliability, the Environmental Sciences and Economics. The contributions, based on lectures given at the 9th International Conference on Risk Analysis (ICRA 9), at Perugia, Italy, May 2022, detail a wide variety of daily risks, building on ideas presented at previous ICRA conferences. Working within a strong theoretical framework, supporting applications, the material describes a modern extension of the traditional research of the 1980s. This book is intended for graduate students in Mathematics, Statistics, Biology, Toxicology, Medicine, Management, and Economics, as well as quantitative researchers in Risk Analysis.
Kundenbewertungen
Bias, Hazard Function, Parameter Estimation, Risk Factors, Proceedings, Epidemiology, Consumer Satisfaction, ARIMA, Statistical Modelling, Statistics, Environmental Risk, Risk Analysis, Food Science, Relative Risk, Non-Parameter Estimation