Articoli correlati a Mathematical and Statistical Methods for Actuarial...
- EditoreSpringer Nature
- Data di pubblicazione2024
- ISBN 10 3031642724
- ISBN 13 9783031642722
- RilegaturaCopertina rigida
- LinguaInglese
- Numero di pagine380
- RedattoreCorazza Marco, Gannon Frdric, Legros Florence, Pizzi Claudio, Touz Vincent
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Mathematical and Statistical Methods for Actuarial Sciences and Finance
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Springer, Berlin|Springer Nature Switzerland|Springer, 2024
ISBN 10: 3031642724
ISBN 13: 9783031642722
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The book presents a collection of peer-reviewed short papers selected from those that are presented at the International Conference Mathematical and Statistical Methods for Actuarial Sciences and Finance-MAF2024. The idea behind this book is that the coo. Codice articolo 1680674154
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Mathematical and Statistical Methods for Actuarial Sciences and Finance
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Springer, Berlin, Springer Nature Switzerland, Springer, 2024
ISBN 10: 3031642724
ISBN 13: 9783031642722
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book presents a collection of peer-reviewed short papers selected from those presented at the International Conference Mathematical and Statistical Methods for Actuarial Sciences and Finance - MAF2024. The year 2024 marks the twentieth anniversary of the first edition of this conference.The idea behind this book is that collaboration and cross-pollination between mathematicians and statisticians working in actuarial sciences and finance could enhance research in these fields. The effectiveness of this concept has been demonstrated by widespread participation across all editions, held at various locations including the University of Salerno, Italy (2004, 2006, 2010, 2014, and 2022); Ca' Foscari University of Venice, Italy (2008, 2012, and 2020); University Paris-Dauphine in Paris, France (2016); University Carlos III of Madrid, Madrid (2018); and University of Le Havre Normandie, Le Havre, France (2024). This effectiveness is also evident in the attention consistently shown by both the scientific community and professionals toward the volumes of peer-reviewed papers accompanying all past editions of MAF.The book is a valuable resource for academics, researchers, Ph.D. students, and professionals. Furthermore, it is also of interest to other readers with a quantitative background. 304 pp. Englisch. Codice articolo 9783031642722
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Mathematical and Statistical Methods for Actuarial Sciences and Finance: MAF2024
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Mathematical and Statistical Methods for Actuarial Sciences and Finance : MAF2024
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Springer Nature Switzerland, 2024
ISBN 10: 3031642724
ISBN 13: 9783031642722
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book presents a collection of peer-reviewed short papers selected from those presented at the International Conference Mathematical and Statistical Methods for Actuarial Sciences and Finance - MAF2024. The year 2024 marks the twentieth anniversary of the first edition of this conference.The idea behind this book is that collaboration and cross-pollination between mathematicians and statisticians working in actuarial sciences and finance could enhance research in these fields. The effectiveness of this concept has been demonstrated by widespread participation across all editions, held at various locations including the University of Salerno, Italy (2004, 2006, 2010, 2014, and 2022); Ca' Foscari University of Venice, Italy (2008, 2012, and 2020); University Paris-Dauphine in Paris, France (2016); University Carlos III of Madrid, Madrid (2018); and University of Le Havre Normandie, Le Havre, France (2024). This effectiveness is also evident in the attention consistently shown by both the scientific community and professionals toward the volumes of peer-reviewed papers accompanying all past editions of MAF.The book is a valuable resource for academics, researchers, Ph.D. students, and professionals. Furthermore, it is also of interest to other readers with a quantitative background. Codice articolo 9783031642722
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Mathematical and Statistical Methods for Actuarial Sciences and Finance (Hardcover)
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Springer International Publishing AG, Cham, 2024
ISBN 10: 3031642724
ISBN 13: 9783031642722
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Hardcover. Condizione: new. Hardcover. The book presents a collection of peer-reviewed short papers selected from those presented at the International Conference Mathematical and Statistical Methods for Actuarial Sciences and Finance MAF2024. The year 2024 marks the twentieth anniversary of the first edition of this conference.The idea behind this book is that collaboration and cross-pollination between mathematicians and statisticians working in actuarial sciences and finance could enhance research in these fields. The effectiveness of this concept has been demonstrated by widespread participation across all editions, held at various locations including the University of Salerno, Italy (2004, 2006, 2010, 2014, and 2022); Ca' Foscari University of Venice, Italy (2008, 2012, and 2020); University Paris-Dauphine in Paris, France (2016); University Carlos III of Madrid, Madrid (2018); and University of Le Havre Normandie, Le Havre, France (2024). This effectiveness is also evident in the attention consistently shown by both the scientific community and professionals toward the volumes of peer-reviewed papers accompanying all past editions of MAF.The book is a valuable resource for academics, researchers, Ph.D. students, and professionals. Furthermore, it is also of interest to other readers with a quantitative background. The book presents a collection of peer-reviewed short papers selected from those presented at the International Conference Mathematical and Statistical Methods for Actuarial Sciences and Finance MAF2024. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9783031642722
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Mathematical and Statistical Methods for Actuarial Sciences and Finance: MAF2024
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hardcover. Condizione: New. Brand New! This item is printed on demand. 1.3700. Codice articolo 3031642724
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Mathematical and Statistical Methods for Actuarial Sciences and Finance: Maf2024
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Hardcover. Condizione: Brand New. 380 pages. 9.25x6.10x9.21 inches. In Stock. Codice articolo x-3031642724
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Mathematical and Statistical Methods for Actuarial Sciences and Finance (Hardcover)
Editore:
Springer International Publishing AG, Cham, 2024
ISBN 10: 3031642724
ISBN 13: 9783031642722
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Hardcover. Condizione: new. Hardcover. The book presents a collection of peer-reviewed short papers selected from those presented at the International Conference Mathematical and Statistical Methods for Actuarial Sciences and Finance MAF2024. The year 2024 marks the twentieth anniversary of the first edition of this conference.The idea behind this book is that collaboration and cross-pollination between mathematicians and statisticians working in actuarial sciences and finance could enhance research in these fields. The effectiveness of this concept has been demonstrated by widespread participation across all editions, held at various locations including the University of Salerno, Italy (2004, 2006, 2010, 2014, and 2022); Ca' Foscari University of Venice, Italy (2008, 2012, and 2020); University Paris-Dauphine in Paris, France (2016); University Carlos III of Madrid, Madrid (2018); and University of Le Havre Normandie, Le Havre, France (2024). This effectiveness is also evident in the attention consistently shown by both the scientific community and professionals toward the volumes of peer-reviewed papers accompanying all past editions of MAF.The book is a valuable resource for academics, researchers, Ph.D. students, and professionals. Furthermore, it is also of interest to other readers with a quantitative background. The book presents a collection of peer-reviewed short papers selected from those presented at the International Conference Mathematical and Statistical Methods for Actuarial Sciences and Finance MAF2024. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9783031642722
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