Statistical Foundations of Actuarial Learning and its Applications

Author / Organization:

Overview & Synopsis

This open access book discusses the statistical modeling of insurance problems, a process which comprises data collection, data analysis and statistical model building to forecast insured events that may happen in the future. It presents the mathematical foundations behind these fundamental statistical concepts and how they can be applied in daily actuarial practice.

Indexed from repository: FreeComputerBooks.com (freecomputerbooks.com)
Loading document from verified source...
Keyboard Shortcuts: ← / → for pages • + / - for zoom • 0 to fit width Powered by Mozilla PDF.js v3.11

Document Information

Document Title Statistical Foundations of Actuarial Learning and its Applications
Author / Organization Mario V. Wüthrich, Michael Merz
Subject & Discipline Financial Mathematics and Engineering, Financial Technologies, Statistics, R Language and SAS Programming, Probability and Stochastic Processes, Applied Mathematics
Categories Financial Mathematics and Engineering, Financial Technologies
Publication Year 2023
ISBN 978-3031124082
License / Rights Creative Commons License (CC)
Resource Verification Access Restricted / Protected Host
Original Host Website FreeComputerBooks.com (freecomputerbooks.com)
File Format application/pdf (Portable Document Format)
Language ENGLISH
Catalog ID DOC-113160
Original Source Link Visit Source Page on freecomputerbooks.com »
Commercial / Print Edition

Prefer a Physical Book or Kindle Edition?

Statistical Foundations of Actuarial Learning and its Applications • Print Edition
As an Amazon Associate, MainReads earns from qualifying purchases.