Loss Models: From Data to Decisions, 3rd Edition ExamPrep (Online) Wrapper

eKlugman ExamPrep is an exciting new online product designed to help actuaries improve their examination skills. eKlugman ExamPrep provides an interactive method for working most of the exercises in Loss Models including, as well as providing, hints and step-by-step solutions. Many of the questions have a feature that makes random changes so that the same question can be worked more than once. The questions cover simulations, log normal distributions, aggregate loss models and operational risks, among a host of other actuarial topics. eKlugman ExamPrep also includes multiple forms of simulated exams with questions specially written for exam C/4 practice. The product features a built-in record keeping system in order to reinforce further practice and promote customization of study skills. This online product presents useful tips in understanding the test material, and it aids users in achieving specific exam goals. The material is a 'must have' for all aspiring and practicing actuaries who desire a fast and efficient alternative to using the traditional coursebook approach. Price includes 6-month access/subscription. Once purchased, the product is nonreturnable.

STUART A. KLUGMAN, PhD, is Principal Financial Group Distinguished Professor of Actuarial Science at Drake University. A Fellow of the Society of Actuaries, Dr. Klugman was vice president of the SOA from 2001–2003.

HARRY H. PANJER, PhD, is Professor Emeritus in the Department of Statistics and Actuarial Science at the University of Waterloo, Canada. Past president of both the Canadian Institute of Actuaries and the Society of Actuaries, Dr. Panjer has published numerous articles on risk modeling in the fields of finance and actuarial science.

GORDON E. WILLMOT, PhD, is Munich Re Chair in Insurance and Professor in the Department of Statistics and Actuarial Science at the University of Waterloo, Canada. Dr. Willmot has authored or coauthored over sixty published articles in the areas of risk theory, queueing theory, distribution theory, and stochastic modeling in insurance.