eKlugman<sup><small>TM</small></sup> ExamPrep

The contents of this online product simulate test questions related to Exam C (old Exam 4) of the Society of Actuaries, the Casualty Actuarial Society and the Canadian Institute of Actuaries' combined accreditation programs. Online ExamPrep randomly selects sample exercises and exam questions from thousands of previously used test questions, as well as provides hints and step-by-step solutions. The questions cover simulations, log normal distributions, aggregate loss models and operational risks, among a host of other actuarial topics. Online ExamPrep also includes multiple forms of timed exams, and 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 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 textbook approach.

Preface
Acknowledgments
Introduction
Modeling
Actuarial Models
Random Variables
Basic Distributional Quantities
Classifying and Creating Distributions
Frequency and Severity with Coverage Modifications
Aggregate Loss Models
Discrete Time Ruin Models
Continuous Time Ruin Models
Construction of Empirical Models
Review of Mathematical Statistics
Estimation for Complete Data
Estimation for Modified Data
Parametric Statistical Methods
Parameter Estimation
Model Selection
Five Examples
Adjusted Estimates and Simulation
Interpolation and Smoothing
Credibility
Simulation
An Inventory of Continuous Distributions
An Inventory of Discrete Distributions
Frequency and Severity Relationships
The Recursive Formula
Discretization of the Serverity Distribution
Numerical Optimization and Solution of Systems
References
Index
Table of Contents provided by Publisher. All Rights Reserved.

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eKlugman^TM ExamPrep for Loss Models: From Data to Decisions, Online, 3rd Edition

Summary

Table of Contents

Supplemental Materials