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Statistical Modelling and Risk Analysis : Selected contributions from ICRA9, Perugia, Italy, May 25-27, 2022 / edited by Christos P. Kitsos, Teresa A. Oliveira, Francesca Pierri, Marialuisa Restaino
(Springer Proceedings in Mathematics & Statistics. ISSN:21941017 ; 430)

1st ed. 2023.
出版者 (Cham : Springer International Publishing : Imprint: Springer)
出版年 2023
本文言語 英語
大きさ X, 229 p. 77 illus., 54 illus. in color : online resource
著者標目 Kitsos, Christos P editor
Oliveira, Teresa A editor
Pierri, Francesca editor
Restaino, Marialuisa editor
SpringerLink (Online service)
件 名 LCSH:Statistics 
LCSH:Biometry
FREE:Statistical Theory and Methods
FREE:Biostatistics
FREE:Statistics in Business, Management, Economics, Finance, Insurance
一般注記 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
HTTP:URL=https://doi.org/10.1007/978-3-031-39864-3
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電子ブック オンライン 電子ブック

Springer eBooks 9783031398643
電子リソース
EB00226070

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データ種別 電子ブック
分 類 LCC:QA276-280
DC23:519.5
書誌ID 4001093665
ISBN 9783031398643

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