Overview
- Covers new results in Risk Analysis and Assessment
- Focuses on applications in Biology, Engineering Reliability, Environmental Science
- Aims to promote interdisciplinary research and collaboration
Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 430)
Included in the following conference series:
Conference proceedings info: ICRA 2022.
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Table of contents (17 papers)
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Front Matter
Other volumes
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Statistical Modelling and Risk Analysis
Keywords
About this book
Editors and Affiliations
About the editors
Teresa A. Oliveira is an Associate Professor with Habilitation, in Mathematics-Statistics, at the Department of Sciences and Technology of the Universidade Aberta in Lisbon. She obtained master's and doctoral degrees in Statistics and Operations Research at the University of Lisbon and is a senior member of the Center of Statistics and Applications (CEAUL) there. Her research interests include Experimental Design, Statistical Quality Control, Risk Analysis, Statistical Modeling, Computational Statistics, Stochastic Models, Data Analysis, and e-Learning Methodologies. She actively participated in numerous Erasmus+ Bilateral and Teaching Programs and was selected by the National Agency as an evaluator for Erasmus+ during 2021/2027. She presides over the ISI-CRA International Statistical Institute - Committee on Risk Analysis and was appointed as a founding member of the ISI Working Group on Data Science. With extensive editorial experience, she is an Associate Editor of JAS - Journal of Applied Statistics and of MPS - Mathematical Population Studies and is a member of other prestigious Journal Editorial Boards. She has authored/co-authored numerous peer-reviewed international and national papers, books, special issues, and proceedings, and her main research results were presented at many conferences, workshops, courses, and invited seminars worldwide. Her contributions to the field of Mathematics-Statistics continue to inspire new research and innovation, which is clearly reflected in the huge number of theses and dissertations under her supervision, in various courses, and in several universities.
Francesca Pierri graduated in Economics from the University of Perugia. Since 2005 she is Assistant Professor of Statistics at the Department of Economics, University of Perugia. Her primary research interest deals with failure prediction in economics and medical fields. The main statistical methods applied are logistic regression, logistic regression for unbalanced data, logistic regression for case-control studies, survival analysis, competing risks and multistate models. The results of her research activity have been published in international journals and have been presented in several international conferences and seminars held in foreign Universities. She serves as an Associate Editorof “Lifetime Data Analysis” and “Socio Economic Planning Science”.
Marialuisa Restaino is an Associate Professor of Statistics at the University of Salerno (Italy). She obtained her PhD from University of Salerno in 2008 and her Master Degree in Statistics from Lancaster University (UK) in 2007. Her teaching activity focuses on introductory statistics, computational statistics, and statistical modeling in bachelor’s and master’s degrees, and Ph.D. programs. Her research interests relate to survival analysis and multistate models, and the regression models in the presence of imbalanced datasets. Her methodological works are joined with applications for evaluating students’ performance, and for predicting business failure. She had published 22 research journal articles, and 30 short papers published on special volume. She is a member of the Italian Statistical Society, and of the International Biometric Society – Italian Region.Bibliographic Information
Book Title: Statistical Modelling and Risk Analysis
Book Subtitle: Selected contributions from ICRA9, Perugia, Italy, May 25-27, 2022
Editors: Christos P. Kitsos, Teresa A. Oliveira, Francesca Pierri, Marialuisa Restaino
Series Title: Springer Proceedings in Mathematics & Statistics
DOI: https://doi.org/10.1007/978-3-031-39864-3
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-39863-6Published: 13 December 2023
Softcover ISBN: 978-3-031-39866-7Due: 13 January 2024
eBook ISBN: 978-3-031-39864-3Published: 12 December 2023
Series ISSN: 2194-1009
Series E-ISSN: 2194-1017
Edition Number: 1
Number of Pages: X, 229
Number of Illustrations: 23 b/w illustrations, 54 illustrations in colour
Topics: Statistical Theory and Methods, Biostatistics, Statistics for Business, Management, Economics, Finance, Insurance