Probability and Statistics for Actuaries provides students with a
structured and detailed explanation of the probabilistic and
statistical aspects of actuarial science to help them formalize and
deepen their knowledge in these areas. The text is divided into two
distinct parts with the first focusing on probability and the
second focusing on statistics. Part I begins with a strategic
review of probabilistic models and techniques. Additional chapters
cover conditional probability, variance, and expectation with
distinct emphasis of the Bayesian approach. Students learn about
the Bayesian framework for credibility and the relationship between
Buhlmann approximation and empirical Bayes. Part II begins with a
review of statistical models and techniques and then proceeds with
a robust chapter that discusses parametric statistical inference.
The text includes two helpful appendices: a one-sample K-S table
and a one-sample A-D table. Designed to help students expand their
knowledge, Probability and Statistics for Actuaries is an
exceptional resource for courses within the actuarial sciences. It
is also ideal for individuals preparing to take professional exams
given by the Society of Actuaries and Casualty Actuarial Society.
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