Actuarial Statistics with R: Theory and Case Studies

This book is written primarily for actuarial students and practitioners who wish to learn the basic fundamentals and applications of modern statistical methods using R programming. It provides data analytic tools utilizing supervised and unsupervised learning, as well as time series and simulation models.

Introduction to Ratemaking and Loss Reserving for Property and Casualty Insurance

This text provides a basic foundation of knowledge concerning two fundamental building blocks of property/casualty actuarial work: ratemaking and loss reserving. The material also represents the basic foundation of knowledge needed to gain an introductory appreciation of the building blocks of the property/casualty actuarial discipline.

Introduction to Credibility Theory

Credibility modeling is a proven approach for analyzing unique product designs. This text presents a wide variety of credibility models in an easy-to-read style, and in so doing, traces the historical development of the subject. The Bayesian approach to credibility is emphasized.

Mathematics of Investment & Credit

Mathematics of Investment and Credit is a leading textbook covering the topic of interest theory. This textbook provides a complete treatment of the theory of interest, and its application for a wide variety of financial instruments. It emphasizes a direct-calculation approach to reaching numerical results, and uses a gentle, thorough pedagogic style.

Probability and Statistics with Applications: A Problem Solving Text

Probability and Statistics with Applications is an introductory textbook designed to make the subject accessible to college freshmen and sophomores concurrent with Calc II and III, with a prerequisite of just one semester of calculus.

Probability for Risk Management

This textbook provides a first course in probability for students with a basic calculus background. It has been designed for students who are mostly interested in the applications of probability to risk management in vital modern areas such as insurance, finance, economics, and health sciences. The text has many features which are tailored for those students and has complete coverage of the SOA Exam P syllabus for those studying for this exam.

R for Actuaries and Data Scientists with Applications to Insurance

There are books on R and books on modern statistical methods, but very few books on both, and fewer still that are accessible to the newcomer and focused on actuarial applications. R for Actuaries and Data Scientists is designed to fill this void.

Theory of Interest and Life Contingencies with Pension Applications

This text is listed in the Course of Reading for the EA-1 Examination on the Joint Board for the Enrollment of Actuaries. It has also been adopted as the required text for introductory actuarial science courses at a number of colleges and universities. Students will also find this text to be valuable supplementary reading in preparing for SOA Exam FM.