The motor vehicle insurance data are motor vehicle insurance policies.
mvi is a sample of 2000 observations from
mviBig which has 67143 observartions
Two data frames with 2000 or 67143 observations on the following 14 variables.
a numeric vector showing the value of the vehicle
a numeric vector showing whether a claim is made, 0 no claim, 1 at least one claim
a nuneric vactor showing the number of claims
a numeric vector showing the total amount of claim, i.e. for
numclaims=0 is zero.
a factor showing the make of the car with levels
a factor showing the type of the cat, with levels
a numeric vector showing the age of the car
a factor showing the gender of the policy holder with levels
a factor showing the Area of residence of the policy holder with levels
a factor showing the age band of the policy holder with levels
6 one is youngest
a numeric vector showing the time of exposure with values from zero to one
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.
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.
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