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alpha
and scale parameter lambda
.crf.inv.genexp(x, t = 0, alpha, lambda)
hinv.genexp(x, alpha, lambda)
hra.inv.genexp(x, alpha, lambda)
sinv.genexp(x, alpha, lambda)
crf.inv.genexp
gives the conditional reliability function (crf),
hinv.genexp
gives the hazard function,
hra.inv.genexp
gives the hazard rate average (HRA) function, and
sinv.genexp
gives the survival function for the Inverse Generalized Exponential(IGE) distribution.
Gupta, R.D. and Kundu, D., (2007). Generalized exponential distribution: Existing results and some recent development, Journal of Statistical Planning and Inference. 137, 3537-3547.
dinv.genexp
for other Inverse Generalized Exponential(IGE) distribution related functions;
## load data set
data(repairtimes)
## Maximum Likelihood(ML) Estimates of alpha & lambda for the data(repairtimes)
## Estimates of alpha & lambda using 'maxLik' package
## alpha.est = 1.097807, lambda.est = 1.206889
## Reliability indicators for data(repairtimes):
## Reliability function
sinv.genexp(repairtimes, 1.097807, 1.206889)
## Hazard function
hinv.genexp(repairtimes, 1.097807, 1.206889)
## hazard rate average(hra)
hra.inv.genexp(repairtimes, 1.097807, 1.206889)
## Conditional reliability function (age component=0)
crf.inv.genexp(repairtimes, 0.00, 1.097807, 1.206889)
## Conditional reliability function (age component=3.0)
crf.inv.genexp(repairtimes, 3.0, 1.097807, 1.206889)
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