Finance Department

 

Date of this Version

2005

Document Type

Article

Citation

Journal of Actuarial Practice 12 (2005), pp. 101-126

Comments

Copyright 2005 Absalom Press

Abstract

The log-EIG distribution was recently introduced to the probability literature. It has positive support and a moderately long tail, and is closer to the lognormal than to the gamma or Weibull distributions. Our simulations show that data generated from a log-EIG distribution cannot be adequately described by lognormal, gamma, or Weibull distributions. The log-EIG distribution is a worthwhile candidate for modeling insurance claims (loss) data or lifetime data. Examples of fitting the log-EIG to published insurance claims data are given.

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