Overview

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 Bühlmann 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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9781793514271

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Natalia A. Humphreys, Ph.D., F.S.A. is a clinical professor and the associate head of the actuarial program in the Department of Mathematical Sciences at the University of Texas at Dallas. Prior to her academic appointments, Dr. Humphreys served as a practicing actuary in both retirement consulting and the health insurance industry. Yuly Koshevnik, Ph.D. is a professor of education in the Department of Mathematical Sciences at the University of Texas at Dallas. Prior to joining UT Dallas, he served as an associate professor of statistical science at Southern Methodist University and a senior statistical analyst at MCI WorldCom Inc.

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