Modelling heavy-tailed insurance claim data using the hyper-erlang distribution with common scale parameter

• Main Authors: Seet, Angeline Yuen Chee, Yang, Bowen, Yeoh, Yun Wei
• Other Authors: Uditha Balasooriya
• Format: Final Year Project
• Language: English
• Published: 2011
• Subjects: DRNTU::Business::Finance::Insurance claims
• Online Access: http://hdl.handle.net/10356/44131
• Institution: Nanyang Technological University

When modelling positively skewed insurance claim data, traditional distributions such as lognormal and Weibull often fail to accurately estimate the tail. Several methods have been developed to improve tail estimation without compromising the body fitting, including the transformed kernel density an...