Statistical Modelling and Risk Analysis : Selected contributions from ICRA9, Perugia, Italy, May 25-27, 2022
Language: English
Published by Springer, 2023
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
US$ 352.17
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Add to basketItem description from seller
Druck auf Anfrage Neuware - Printed after ordering - 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.
Seller Inventory # 9783031398636
- Title
- Statistical Modelling and Risk Analysis : Selected contributions from ICRA9, Perugia, Italy, May 25-27, 2022
- Author
- Marialuisa Restaino
- Publisher
- Springer
- Publication year
- 2023
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 3031398637
- ISBN 13
- 9783031398636
- Item weight
- 530 grams
- Dimensions
- 241x160x19 mm
"Synopsis" may belong to another edition of this title.
About the Author
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."About the title" may belong to another edition of this title.
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