Preface [a] Statistical Modelling and Risk Analysis

Kitsos, Christos P.; Oliveira, Teresa; Pierri, Francesca; Restaino, Marialuisa

http://hdl.handle.net/10400.2/15347

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Abstract(s)

We make available the pdf with the Book Resume. 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.

Description

Editores: Christos P. Kitsos, Teresa A. Oliveira, Francesca Pierri e Marialuisa Restaino.

Keywords

Hazard function Risk analysis Epidemiology Statistical modelling ARIMA Environmental risk Risk factors Relative risk Parameter estimation Non-parameter estimation Bias Consumer satisfaction Food science Statistics Proceedings