## Abstract A review of analytical and computational properties of the mixed Erlang distribution is given in the context of risk analysis. Basic distributional properties are discussed, and examples of members of the class are provided. Its use in aggregate claims, stop‐loss analysis, and risk meas
‘Risk modelling with the mixed Erlang distribution’ by G. E. Willmot and S. Lin
✍ Scribed by David A. Stanford
- Publisher
- John Wiley and Sons
- Year
- 2011
- Tongue
- English
- Weight
- 52 KB
- Volume
- 27
- Category
- Article
- ISSN
- 1524-1904
- DOI
- 10.1002/asmb.843
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We wish to thank the two discussants for their interesting and thought provoking discussions of the paper. Our responses to their comments are now given. Both Jose Garrido and David Stanford have discussed the phase-type (PH) class in some detail, and we wish to make some further remarks both about
Professors Willmot and Lin are to be commended for a very clear, elegant and comprehensive review of risk analytic methods with mixed Erlang distributions. The paper draws from recent work of the authors on risk models with countable mixtures of Erlang distributions, in particular, Willmot and Woo
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