Actuarial loss models are statistical models used by insurance companies to estimate the frequency and severity of future losses, set premiums, and reserve funds to cover potential claims. Actuarial loss models are a subject in actuarial mathematics that focus on the pricing and reserving for short-term coverages.This is a concise textbook written for undergraduate students majoring in actuarial science who wish to learn the basics of actuarial loss models. This book can be used as a textbook for a one-semester course on actuarial loss models. The prerequisite for this book is a first course on calculus. The reader is supposed to be familiar with differentiation and integration.This book covers part of the learning outcomes of the Fundamentals of Actuarial Mathematics (FAM) exam and the Advanced Short-Term Actuarial Mathematics (ASTAM) exam administered by the Society of Actuaries. It can be used by actuarial students and practitioners who prepare for the aforementioned actuarial exams.Key Features:Review core concepts in probability theory.Cover important topics in actuarial loss models.Include worked examples.Provide both theoretical and numerical exercises.Include solutions of selected exercises.
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This book covers part of the learning outcomes of the Fundamentals of Actuarial Mathematics (FAM) exam and the Advanced Short-Term Actuarial Mathematics (ASTAM) exam administered by the Society of Actuaries. It can be used by students and practitioners who prepare for actuarial exams.
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Preface 1. Probability Theory 2. Frequency Models 3. Severity Models 4. Aggregate Loss Models 5. Coverage Modifications 6. Model Estimation 7. Model Selection 8. Credibility Models 9. Risk Measures A. Useful Results from Calculus B. Special Functions C. Normal Distribution Table D. R Code E. Solutions to Selected Exercises Bibliography List of Symbols Index
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Produktdetaljer
ISBN
9781032777658
Publisert
2024-10-15
Utgiver
Vendor
Chapman & Hall/CRC
Vekt
589 gr
Høyde
234 mm
Bredde
156 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
220
Forfatter
Biographical note
Guojun Gan is an Associate Professor in the Department of Mathematics at the University of Connecticut, Storrs, Connecticut, USA. He received a BS degree from Jilin University, Changchun, China, in 2001 and MS and PhD degrees from York University, Toronto, Canada, in 2003 and 2007, respectively. His research interests are in the interdisciplinary areas of actuarial science and data science.