Insurance {MASS} | R Documentation

## Numbers of Car Insurance claims

### Description

The data given in data frame `Insurance` consist of the numbers of policyholders of an insurance company who were exposed to risk, and the numbers of car insurance claims made by those policyholders in the third quarter of 1973.

### Usage

    Insurance

### Format

This data frame contains the following columns:

`District`

  factor: district of residence of policyholder (1 to 4): 4 is major cities.

`Group`

  an ordered factor: group of car with levels <1 litre, 1–1.5 litre, 1.5–2 litre, >2 litre.

`Age`

  an ordered factor: the age of the insured in 4 groups labelled <25, 25–29, 30–35, >35.

`Holders`

  numbers of policyholders.

`Claims`

  numbers of claims

### Source

L. A. Baxter, S. M. Coutts and G. A. F. Ross (1980) Applications of linear models in motor insurance. Proceedings of the 21st International Congress of Actuaries, Zurich pp. 11–29.

M. Aitkin, D. Anderson, B. Francis and J. Hinde (1989) Statistical Modelling in GLIM. Oxford University Press.

### References

Venables, W. N. and Ripley, B. D. (1999) Modern Applied Statistics with S-PLUS. Third Edition. Springer.

### Examples

    ## main-effects fit as Poisson GLM with offset
    glm(Claims ~ District + Group + Age + offset(log(Holders)),
        data = Insurance, family = poisson)

    # same via loglm
    loglm(Claims ~ District + Group + Age + offset(log(Holders)),
          data = Insurance)

[Package MASS version 7.3-18 Index]