Effective Statistical Learning Methods for Actuaries I GLMs and Extensions /
This book summarizes the state of the art in generalized linear models (GLMs) and their various extensions: GAMs, mixed models and credibility, and some nonlinear variants (GNMs). In order to deal with tail events, analytical tools from Extreme Value Theory are presented. Going beyond mean modeling,...
Κύριοι συγγραφείς: | Denuit, Michel (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Hainaut, Donatien (http://id.loc.gov/vocabulary/relators/aut), Trufin, Julien (http://id.loc.gov/vocabulary/relators/aut) |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | SpringerLink (Online service) |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
|
Έκδοση: | 1st ed. 2019. |
Σειρά: | Springer Actuarial Lecture Notes,
|
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Παρόμοια τεκμήρια
-
Effective Statistical Learning Methods for Actuaries III Neural Networks and Extensions /
ανά: Denuit, Michel, κ.ά.
Έκδοση: (2019) -
Actuarial Aspects of Long Term Care
Έκδοση: (2019) -
Risk Theory
ανά: Schmidli, Hanspeter, κ.ά.
Έκδοση: (2017) -
A Multivariate Claim Count Model for Applications in Insurance
ανά: Selch, Daniela Anna, κ.ά.
Έκδοση: (2018) -
Solvency II in the Insurance Industry Application of a Non-Life Data Model /
Έκδοση: (2018)