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The destructive negative binomial cure rate model with a latent activation scheme
PERCENTILE RESIDUAL LIFE FOR PARALLEL SYSTEMS WITH NONIDENTICAL COMPONENTS
In the study of reliability of the technical systems and
subsystems, parallel systems play an important role. In the present
paper, we consider a parallel system with independent and nonidentically
distributed ...
Variable selection in the additive rate model for recurrent event data
Inference on stress-strength parameter based on records
Based on record values, this paper deals with inference for stress-strength
reliability, R = P(X < Y ), where the distribution of X and Y follow
proportional hazard rate models but having different parameters. Maximum...
System Reliability when components share loadings and associated Bayes factors for model acceptance
This paper deals with the computation of Bayes factors (BFs) on the basis of sequential order statistics (SOSs) arising from homogeneous exponential populations. The SOSs may be used for modelling system lifetimes in which ...
Progressively Sequential Order Statistics
. While the lifetimes of
the components follow the Rayleigh distribution, the problem of parameters estimation is studied in a
greater detail under the conditional proportional hazard rate model. An algorithm for generating PSOS...
The optimal progressive censoring scheme for robust estimation in the presence of an outlier
are applied on a proportional hazard rate model....
Stochastic orderings among general proportional mean past lifetime frailty models
There are several well-known models for modeling and analyzing fail-
ure time data, namely, the proportional hazard (PH) rate model, the pro-
portional reversed hazard (PRH) rate model, the additive hazard model,
the additive...
Estimation based on sequential order statistics with random removals
Suppose that n individuals are scrutinized in an experiment.
Each failure is accompanied by a fixed number of removals. The experiment
terminates after r(<= n) failures. An explicit expressions for the ...