Description Usage Format Details Source References Examples
This data is due to Mildenhall (1999). Mildenhall (1999) considered 8,942 collision losses from private passenger United Kingdom (UK) automobile insurance policies. The data were derived from Nelder and McCullagh (1989, Section 8.4.1) but originated from Baxter et al. (1980). We consider here a sample of n = 32 of Mildenhall data for eight driver types (age groups) and four vehicle classes (vehicle use). The average severity is in pounds sterling adjusted for inflation.
1 |
A data frame with 32 observations on the following 4 variables.
Age
Age of driver, a factor with levels A
B
C
D
E
F
G
H
Vehicle_Use
Purpose of the vehicle use: DriveShort means drive to work but less than 10 miles, DriveLong means drive to work but more than 10 miles, a factor with levels Business
DriveLong
DriveShort
Pleasure
Severity
Average amount of claims (in pounds sterling), a numeric vector
Claim_Count
Number of claims, a numeric vector
http://instruction.bus.wisc.edu/jfrees/jfreesbooks/Regression%20Modeling/BookWebDec2010/
DataDescriptions.pdf
http://instruction.bus.wisc.edu/jfrees/jfreesbooks/Regression%20Modeling/BookWebDec2010/data.html
Frees E.W. (2010), Regression Modeling with Actuarial and Financial Applications, Cambridge University Press.
Mildenhall S.J. (1999), A systematic relationship between minimum bias and generalized linear models, in: Proceedings of the Casualty Actuarial Society, 86, p. 393-487.
1 2 | data(AutoCollision)
## maybe str(AutoCollision) ; plot(AutoCollision) ...
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.