Loss Models: From Data to Decisions, Fifth Edition continues to supply
actuaries with a practical approach to the key concepts and techniques
needed on the job. With updated material and extensive examples, the
book successfully provides the essential methods for using available
data to construct models for the frequency and severity of future
adverse outcomes.
The book continues to equip readers with the tools needed for the
construction and analysis of mathematical models that describe the
process by which funds flow into and out of an insurance system.
Focusing on the loss process, the authors explore key quantitative
techniques including random variables, basic distributional quantities,
and the recursive method, and discuss techniques for classifying and
creating distributions. Parametric, non-parametric, and Bayesian
estimation methods are thoroughly covered along with advice for choosing
an appropriate model. Throughout the book, numerous examples showcase
the real-world applications of the presented concepts, with an emphasis
on calculations and spreadsheet implementation.
Loss Models: From Data to Decisions, Fifth Edition is an indispensable
resource for students and aspiring actuaries who are preparing to take
the SOA and CAS examinations. The book is also a valuable reference for
professional actuaries, actuarial students, and anyone who works with
loss and risk models.