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.

• 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

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.

• 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

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.

• 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