語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
A Multivariate Claim Count Model for...
~
SpringerLink (Online service)
A Multivariate Claim Count Model for Applications in Insurance
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
A Multivariate Claim Count Model for Applications in Insurance/ by Daniela Anna Selch, Matthias Scherer.
作者:
Selch, Daniela Anna.
其他作者:
Scherer, Matthias.
面頁冊數:
XII, 158 p. 29 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Probabilities. -
電子資源:
https://doi.org/10.1007/978-3-319-92868-5
ISBN:
9783319928685
A Multivariate Claim Count Model for Applications in Insurance
Selch, Daniela Anna.
A Multivariate Claim Count Model for Applications in Insurance
[electronic resource] /by Daniela Anna Selch, Matthias Scherer. - 1st ed. 2018. - XII, 158 p. 29 illus. in color.online resource. - Springer Actuarial,2523-3262. - Springer Actuarial,.
1 Motivation and Model -- 2 Properties of the Model -- 3 Estimation of the Parameters -- 4 Applications and Extensions -- 5 Appendix: Technical Background -- References -- Index.
This monograph presents a time-dynamic model for multivariate claim counts in actuarial applications. Inspired by real-world claim arrivals, the model balances interesting stylized facts (such as dependence across the components, over-dispersion and the clustering of claims) with a high level of mathematical tractability (including estimation, sampling and convergence results for large portfolios) and can thus be applied in various contexts (such as risk management and pricing of (re-)insurance contracts). The authors provide a detailed analysis of the proposed probabilistic model, discussing its relation to the existing literature, its statistical properties, different estimation strategies as well as possible applications and extensions. Actuaries and researchers working in risk management and premium pricing will find this book particularly interesting. Graduate-level probability theory, stochastic analysis and statistics are required.
ISBN: 9783319928685
Standard No.: 10.1007/978-3-319-92868-5doiSubjects--Topical Terms:
527847
Probabilities.
LC Class. No.: QA273.A1-274.9
Dewey Class. No.: 519.2
A Multivariate Claim Count Model for Applications in Insurance
LDR
:02619nam a22004335i 4500
001
988522
003
DE-He213
005
20200703062811.0
007
cr nn 008mamaa
008
201225s2018 gw | s |||| 0|eng d
020
$a
9783319928685
$9
978-3-319-92868-5
024
7
$a
10.1007/978-3-319-92868-5
$2
doi
035
$a
978-3-319-92868-5
050
4
$a
QA273.A1-274.9
050
4
$a
QA274-274.9
072
7
$a
PBT
$2
bicssc
072
7
$a
MAT029000
$2
bisacsh
072
7
$a
PBT
$2
thema
072
7
$a
PBWL
$2
thema
082
0 4
$a
519.2
$2
23
100
1
$a
Selch, Daniela Anna.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1208751
245
1 2
$a
A Multivariate Claim Count Model for Applications in Insurance
$h
[electronic resource] /
$c
by Daniela Anna Selch, Matthias Scherer.
250
$a
1st ed. 2018.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2018.
300
$a
XII, 158 p. 29 illus. in color.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Springer Actuarial,
$x
2523-3262
505
0
$a
1 Motivation and Model -- 2 Properties of the Model -- 3 Estimation of the Parameters -- 4 Applications and Extensions -- 5 Appendix: Technical Background -- References -- Index.
520
$a
This monograph presents a time-dynamic model for multivariate claim counts in actuarial applications. Inspired by real-world claim arrivals, the model balances interesting stylized facts (such as dependence across the components, over-dispersion and the clustering of claims) with a high level of mathematical tractability (including estimation, sampling and convergence results for large portfolios) and can thus be applied in various contexts (such as risk management and pricing of (re-)insurance contracts). The authors provide a detailed analysis of the proposed probabilistic model, discussing its relation to the existing literature, its statistical properties, different estimation strategies as well as possible applications and extensions. Actuaries and researchers working in risk management and premium pricing will find this book particularly interesting. Graduate-level probability theory, stochastic analysis and statistics are required.
650
0
$a
Probabilities.
$3
527847
650
0
$a
Actuarial science.
$3
943795
650
0
$a
Statistics .
$3
1253516
650
0
$a
Economics, Mathematical .
$3
1253712
650
1 4
$a
Probability Theory and Stochastic Processes.
$3
593945
650
2 4
$a
Actuarial Sciences.
$3
884190
650
2 4
$a
Statistics for Business, Management, Economics, Finance, Insurance.
$3
1211158
650
2 4
$a
Statistical Theory and Methods.
$3
671396
650
2 4
$a
Quantitative Finance.
$3
669372
700
1
$a
Scherer, Matthias.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
857540
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783319928678
776
0 8
$i
Printed edition:
$z
9783319928692
776
0 8
$i
Printed edition:
$z
9783030065379
830
0
$a
Springer Actuarial,
$x
2523-3262
$3
1280702
856
4 0
$u
https://doi.org/10.1007/978-3-319-92868-5
912
$a
ZDB-2-SMA
912
$a
ZDB-2-SXMS
950
$a
Mathematics and Statistics (SpringerNature-11649)
950
$a
Mathematics and Statistics (R0) (SpringerNature-43713)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入