mle1.GTDL: Maximum likelihood estimation

In carrascojalmar/GTDL: The Generalized Time-Dependent Logistic Family

Maximum likelihood estimation

Description

Estimate of the parameters.

Usage

mle1.GTDL(start, t, method = "BFGS")

Arguments

start	Initial values for the parameters to be optimized over.
t	non-negative random variable representing the failure time and leave the snapshot failure rate, or danger.
method	The method to be used.

Value

Returns a list of summary statistics of the fitted GTDL distribution.

References

• Aarset, M. V. (1987). How to Identify a Bathtub Hazard Rate. IEEE Transactions on Reliability, 36, 106–108.

• Mackenzie, G. (1996) Regression Models for Survival Data: The Generalized Time-Dependent Logistic Family. Journal of the Royal Statistical Society. Series D (The Statistician). 45. 21-34.

See Also

optim

Examples

# times data (from Aarset, 1987))
data(artset1987)
mod <- mle1.GTDL(c(1,-0.05,-1),t = artset1987)

carrascojalmar/GTDL documentation built on May 18, 2022, 1:12 p.m.