Reliability Inferences of the Inverted NH Parameters via Generalized Type-II Progressive Hybrid Censoring with Applications
نویسندگان
چکیده
Generalized progressive hybrid censored mechanisms have been proposed to reduce the test duration and save cost spent on testing. This paper considers problem of estimating unknown model parameters reliability time functions new inverted Nadarajah–Haghighi (NH) distribution under generalized Type-II censoring using maximum likelihood Bayesian estimation approaches. Utilizing normal approximation frequentist estimators, corresponding approximate confidence intervals quantities are also constructed. Using independent gamma conjugate priors symmetrical squared error loss, estimators developed. Since joint function is obtained in complex form, their associated highest posterior density cannot be analytically but can evaluated via Monte Carlo Markov chain techniques. To select optimum scheme among different plans, five optimality criteria used. Finally, explain how methodologies applied real situations, two applications representing failure times electronic devices deaths from coronavirus disease 2019 epidemic United States America analyzed.
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ژورنال
عنوان ژورنال: Symmetry
سال: 2022
ISSN: ['0865-4824', '2226-1877']
DOI: https://doi.org/10.3390/sym14112379