Description Usage Arguments Value References See Also Examples
Conditional reliability function (crf), hazard function, hazard rate average (HRA) and survival function for the linear failure rate(LFR)
distribution with parameters alpha
and beta
.
1 2 3 4 |
x |
vector of quantiles. |
alpha |
parameter. |
beta |
parameter. |
t |
age component. |
crf.lfr
gives the conditional reliability function (crf),
hlfr
gives the hazard function,
hra.lfr
gives the hazard rate average (HRA) function, and
slfr
gives the survival function for the linear failure rate(LFR) distribution.
Bain, L.J. (1974). Analysis for the Linear Failure-Rate Life-Testing Distribution, Technometrics, 16(4), 551 - 559.
Lawless, J.F.(2003). Statistical Models and Methods for Lifetime Data, John Wiley and Sons, New York.
Sen, A. and Bhattacharya, G.K.(1995). Inference procedure for the linear failure rate mode, Journal of Statistical Planning and Inference, 46, 59-76.
dlfr
for other linear failure rate(LFR) distribution related functions;
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | ## load data set
data(sys2)
## Maximum Likelihood(ML) Estimates of alpha & beta for the data(sys2)
## Estimates of alpha & beta using 'maxLik' package
## alpha.est = 1.77773e-03, beta.est = 2.77764e-06
## Reliability indicators for data(sys2):
## Reliability function
slfr(sys2, 1.777673e-03, 2.777640e-06)
## Hazard function
hlfr(sys2, 1.777673e-03, 2.777640e-06)
## hazard rate average(hra)
hra.lfr(sys2, 1.777673e-03, 2.777640e-06)
## Conditional reliability function (age component=0)
crf.lfr(sys2, 0.00, 1.777673e-03, 2.777640e-06)
## Conditional reliability function (age component=3.0)
crf.lfr(sys2, 3.0, 1.777673e-03, 2.777640e-06)
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