R: The motor vehicle insurance data

mvi {gamlss.data} | R Documentation

## The motor vehicle insurance data

### Description

The motor vehicle insurance data are motor vehicle insurance policies. `mvi` is a sample of 2000 observations from `mviBig` which has 67143 observartions

### Usage

    data(mvi)
    data(mviBig)

### Format

Two data frames with 2000 or 67143 observations on the following 14 variables.

`retval`

  a numeric vector showing the value of the vehicle

`whetherclm`

  a numeric vector showing whether a claim is made, 0 no claim, 1 at least one claim

`numclaims`

  a nuneric vactor showing the number of claims

`claimcst0`

  a numeric vector showing the total amount of claim, i.e. for `numclaims=0` is zero.

`vehmake`

  a factor showing the make of the car with levels `BMW` `DAEWOO` `FORD` `MITSUBISHI`

`vehbody`

  a factor showing the type of the cat, with levels `BUS` `CONT` `COUPE` `HACK` `HDTOP` `HRSE` `MCARA` `MIBUS` `PANVN` `RDSTR` `SEDAN` `STNWG` `TRUCK` `UTE`

`vehage`

  a numeric vector showing the age of the car

`gender`

  a factor showing the gender of the policy holder with levels `F` `M`

`area`

  a factor showing the Area of residence of the policy holder with levels `A` `B` `C` `D` `E` `F`

`agecat`

  a factor showing the age band of the policy holder with levels `1` `2` `3` `4` `5` `6` one is youngest

`exposure`

  a numeric vector showing the time of exposure with values from zero to one

### Details

The motor vehicle insurance data are motor vehicle insurance policies from an insurance company over a twelve-month period in 2004-05. The original data are 67143 observation but here we also include a random sample of 2000.

### References

Heller, G. Stasinopoulos M and Rigby R.A. (2006) The zero-adjusted Inverse Gaussian distribution as a model for insurance claims. in Proceedings of the 21th International Workshop on Statistial Modelling, eds J. Hinde, J. Einbeck and J. Newell, pp 226-233, Galway, Ireland.

Heller G. Z., Stasinopoulos M.D., Rigby R. A. and de Jong P. (2007) Mean and dispersion modeling for policy claims costs. To be published in the Scandinavian Actuarial Journal.

### Examples

    data(mvi)
    ## a histogram of claims with fitted gamma disteibution
    ## library(gamlss)
    ## with(mvi, histDist(claimcst0[whetherclm==1&claimcst0<15000], family=GA, main="Claims"))

[Package gamlss.data version 5.1-0 Index]