lossalae | R Documentation |

The `lossalae`

is a data frame of 1500 rows and 4 columns
containing 1,500 general liability claims randomly chosen from
late settlement lags and were provided by Insurance Services Office, Inc.
Each claim consists of an indemnity payment (the loss, X1) and
an allocated loss adjustment expense (ALAE). ALAE are types of
insurance company expenses that are specifically attributable
to the settlement of individual claims such as lawyers' fees
and claims investigation expenses.
The third column is the underwriting limit of the policy and
and the fourth column indicates a censored observation.

```
data(lossalaefull)
```

`lossalaefull`

contains four columns:

`Loss`

A numeric vector containing the indemnity payments (USD).

`ALAE`

A numeric vector containing the allocated loss adjustment expenses (USD).

`Limit`

A numeric vector containing the policy limit (USD).

`Censored`

A binary indicating that the payments are capped to their policy limit (USD).

Frees, E. W. and Valdez, E. A. (1998)
Understanding relationships using copulas.
*North American Actuarial Journal*, **2**, 1–15,
\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/10920277.1998.10595749")}.

Klugman, S. A. and Parsa, R. (1999)
Fitting bivariate loss distributions with copulas.
*Insurance: Mathematics and Economics*, **24**, 139–148,
\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/S0167-6687(98)00039-0")}.

Beirlant, J., Goegebeur, Y., Segers, J. and Teugels, J. L. (2004)
*Statistics of Extremes: Theory and Applications.*,
Chichester, England: John Wiley and Sons,
\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1002/0470012382")}.

Cebrian, A.C., Denuit, M. and Lambert, P. (2003).
*Analysis of bivariate tail dependence using extreme
value copulas: An application to the SOA medical large claims
database*, Belgian Actuarial Bulletin, Vol. 3, No. 1,
https://dial.uclouvain.be/pr/boreal/object/boreal:17222.

```
# (1) load of data
#
data(lossalaefull)
```

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