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.

This manual provides detailed guidelines for using the Simple Linear Actuarial Model in the assessment of health insurances, complementing the publication titled An Actuarial Model for Costing Universal Health Coverage in Armenia. The Simple Linear Actuarial Model was developed to calculate and present actuarial projections and key financial indicators in support of the management of health insurance programs. In Armenia, it can serve as a tool for the assessment of the overall costs and financial sustainability of health insurance programs that automatically updates without frequent intervention of actuarial experts. It is also ideal for the assessment of alternative policy configurations of health insurance schemes.