Claims: Personal Injure Insurance
In ssym: Fitting Semi-Parametric log-Symmetric Regression Models
Claims R Documentation
Personal Injure Insurance
Description
This data set contains information on 540 settled personal injury insurance claims from an Australian insurance company, which is a sample of the original data set. These claims
had legal representation were obtained for accidents that occurred from January 1998 to June 1999.
Usage
data(Claims)
Format
A data frame with 540 observations on the following 2 variables.
totalamount of paid money by an insurance policy in thousands of Australian dollars.
accmonthmonth of occurrence of the accident coded 103 (January 1998) through to 120 (June 1999).
op_timeoperational time in percentage.
References
de Jong P, Heller GZ. Generalized Linear Models for Insurance Data. Cambridge University Press: Cambridge, England, 2008.
Paula, G.A., Leiva, V., Barros, M. and Liu, S. (2012) Robust statistical modeling using the Birnbaum-Saunders-t distribution applied to insurance distribution, Applied Stochastic Model in Business and Industry, 28:16-34.
Examples
data("Claims", package="ssym")
plot(Claims$op_time, Claims$total, type="p", cex=0.3, lwd=3,
ylab="Amount of paid money", xlab="Operational time",
main="Personal Injure Insurance Data")
ssym documentation built on April 22, 2023, 1:13 a.m.
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| Claims | R Documentation |
Personal Injure Insurance
Description
This data set contains information on 540 settled personal injury insurance claims from an Australian insurance company, which is a sample of the original data set. These claims had legal representation were obtained for accidents that occurred from January 1998 to June 1999.
Usage
data(Claims)Format
A data frame with 540 observations on the following 2 variables.
totalamount of paid money by an insurance policy in thousands of Australian dollars.
accmonthmonth of occurrence of the accident coded 103 (January 1998) through to 120 (June 1999).
op_timeoperational time in percentage.
References
de Jong P, Heller GZ. Generalized Linear Models for Insurance Data. Cambridge University Press: Cambridge, England, 2008.
Paula, G.A., Leiva, V., Barros, M. and Liu, S. (2012) Robust statistical modeling using the Birnbaum-Saunders-t distribution applied to insurance distribution, Applied Stochastic Model in Business and Industry, 28:16-34.
Examples
data("Claims", package="ssym")
plot(Claims$op_time, Claims$total, type="p", cex=0.3, lwd=3,
ylab="Amount of paid money", xlab="Operational time",
main="Personal Injure Insurance Data")
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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