lossalae: General Liability Claims
In evd: Functions for Extreme Value Distributions
lossalae R Documentation
General Liability Claims
Description
The lossalae data frame has 1500 rows and 2 columns.
The columns contain the indemnity payment (loss), and
the allocated loss adjustment expense (alae), both in USD.
The latter is the additional expenses associated with the
settlement of the claim (e.g. claims investigation expenses
and legal fees).
The dataset also has an attribute called capped, which
gives the row names of the indemnity payments that were capped
at their policy limit.
Usage
lossalae
Format
This data frame contains the following columns:
- Loss
A numeric vector containing the indemnity
payments.
- ALAE
A numeric vector containing the allocated
loss adjustment expenses.
Source
Frees, E. W. and Valdez, E. A. (1998)
Understanding relationships using copulas.
North American Actuarial Journal, 2, 1–15.
References
Klugman, S. A. and Parsa, R. (1999)
Fitting bivariate loss distributions with copulas.
Insurance: Mathematics and Economics, 24, 139–148.
Beirlant, J., Goegebeur, Y., Segers, J. and Teugels, J. L. (2004)
Statistics of Extremes: Theory and Applications.,
Chichester, England: John Wiley and Sons.
evd documentation built on Sept. 21, 2024, 9:06 a.m.
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| lossalae | R Documentation |
General Liability Claims
Description
The lossalae data frame has 1500 rows and 2 columns.
The columns contain the indemnity payment (loss), and
the allocated loss adjustment expense (alae), both in USD.
The latter is the additional expenses associated with the
settlement of the claim (e.g. claims investigation expenses
and legal fees).
The dataset also has an attribute called capped, which
gives the row names of the indemnity payments that were capped
at their policy limit.
Usage
lossalaeFormat
This data frame contains the following columns:
- Loss
A numeric vector containing the indemnity payments.
- ALAE
A numeric vector containing the allocated loss adjustment expenses.
Source
Frees, E. W. and Valdez, E. A. (1998) Understanding relationships using copulas. North American Actuarial Journal, 2, 1–15.
References
Klugman, S. A. and Parsa, R. (1999) Fitting bivariate loss distributions with copulas. Insurance: Mathematics and Economics, 24, 139–148.
Beirlant, J., Goegebeur, Y., Segers, J. and Teugels, J. L. (2004) Statistics of Extremes: Theory and Applications., Chichester, England: John Wiley and Sons.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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