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Statistical Modelling and Risk Analysis

- Selected Contributions from Icra9, Perugia, Italy, May 25-27, 2022

Om Statistical Modelling and Risk Analysis

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.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9783031398636
  • Bindende:
  • Hardback
  • Sider:
  • 210
  • Utgitt:
  • 13. desember 2023
  • Dimensjoner:
  • 156x234x14 mm.
  • Vekt:
  • 513 g.
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 16. mars 2026

Beskrivelse av Statistical Modelling and Risk Analysis

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.

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