國立高雄大學圖資館 |

Language: English

Back

Mathematical and statistical methods for actuarial sciences and financeMAF2024 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Mathematical and statistical methods for actuarial sciences and financeedited by Marco Corazza ... [et al.].
Reminder of title:	MAF2024 /
remainder title:	MAF2024
other author:	Corazza, Marco.
corporate name:
Published:	Cham :Springer Nature Switzerland :2024.
Description:	xi, 304 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	InsuranceCongresses.Mathematical models
Online resource:	https://doi.org/10.1007/978-3-031-64273-9
ISBN:	9783031642739$q(electronic bk.)

Mathematical and statistical methods for actuarial sciences and financeMAF2024 /
Mathematical and statistical methods for actuarial sciences and financeMAF2024 /[electronic resource] :MAF2024edited by Marco Corazza ... [et al.]. - Cham :Springer Nature Switzerland :2024. - xi, 304 p. :ill., digital ;24 cm.

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.

ISBN: 9783031642739$q(electronic bk.)

Standard No.: 10.1007/978-3-031-64273-9doiSubjects--Topical Terms:

515478
Insurance
--Mathematical models--Congresses.

LC Class. No.: HG8017 / .M34 2024

Dewey Class. No.: 368.01

Mathematical and statistical methods for actuarial sciences and financeMAF2024 /
LDR:02341nmm a2200325 a 4500 001 667232
003 DE-He213
005 20240801130638.0
006 m d
007 cr nn 008maaau
008 250107s2024 sz s 0 eng d
020 $a 9783031642739$q(electronic bk.)
020 $a 9783031642722$q(paper)
024 7 $a 10.1007/978-3-031-64273-9 $2 doi
035 $a 978-3-031-64273-9
040 $a GP $c GP
041 0 $a eng
050 4 $a HG8017 $b .M34 2024
072 7 $a KFFN $2 bicssc
072 7 $a MAT003000 $2 bisacsh
072 7 $a KFFN $2 thema
082 0 4 $a 368.01 $2 23
090 $a HG8017 $b .M187 2024
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Mathematical and statistical methods for actuarial sciences and finance $h [electronic resource] : $b MAF2024 / $c edited by Marco Corazza ... [et al.].
246 3 $a MAF2024
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2024.
300 $a xi, 304 p. : $b ill., digital ; $c 24 cm.
520 $a 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.
650 0 $a Insurance $x Mathematical models $v Congresses. $3 515478
650 0 $a Insurance $x Statistical methods $v Congresses. $3 561341
650 0 $a Finance $x Mathematical models $3 217204
650 0 $a Finance $x Statistical methods $v Congresses. $3 515477
650 1 4 $a Actuarial Mathematics. $3 922586
650 2 4 $a Mathematics in Business, Economics and Finance. $3 913174
650 2 4 $a Statistics in Business, Management, Economics, Finance, Insurance. $3 913173
700 1 $a Corazza, Marco. $3 515476
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-64273-9
950 $a Mathematics and Statistics (SpringerNature-11649)