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‘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

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Risk modelling with the mixed Erlang dis
✍ Gordon E. Willmot; X. Sheldon Lin 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 250 KB 👁 3 views

## 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

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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

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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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