data_aclaim: The data show the number of claims per accident
In DDPM: Data Sets for Discrete Probability Models
Claims per accident R Documentation
The data show the number of claims per accident
Description
The function gives the number of claims per accident.
Usage
data_aclaim
Arguments
data_aclaim
A vector of (non-negative integer) count values.
Details
The data show the number of claims per accident. They were used by Willmot (1987) and
fitted by the Poisson-inverse Gaussian distribution.
Value
data_aclaim gives the number of claims per accident.
Author(s)
Muhammad Imran
R implementation and documentation: Muhammad Imran imranshakoor84@yahoo.com.
References
Willmot, G. E. (1987). The Poisson-inverse Gaussian distribution is an alternative to the negative binomial. Scandinavian Actuarial Journal, 1987(3-4), 113-127.
See Also
data_claims, data_claim1, data_claim2, data_claim3
Examples
x<-data_aclaim
summary(x)
table (x)
DDPM documentation built on July 9, 2023, 6:17 p.m.
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| Claims per accident | R Documentation |
The data show the number of claims per accident
Description
The function gives the number of claims per accident.
Usage
data_aclaim
Arguments
data_aclaim |
A vector of (non-negative integer) count values. |
Details
The data show the number of claims per accident. They were used by Willmot (1987) and fitted by the Poisson-inverse Gaussian distribution.
Value
data_aclaim gives the number of claims per accident.
Author(s)
Muhammad Imran
R implementation and documentation: Muhammad Imran imranshakoor84@yahoo.com.
References
Willmot, G. E. (1987). The Poisson-inverse Gaussian distribution is an alternative to the negative binomial. Scandinavian Actuarial Journal, 1987(3-4), 113-127.
See Also
data_claims, data_claim1, data_claim2, data_claim3
Examples
x<-data_aclaim
summary(x)
table (x)
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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