Estimation of reliability in a multicomponent stress-strength model for a general class of inverted exponentiated distributions under progressive censoring
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Publication:828501
DOI10.1007/s42519-020-00123-6zbMath1456.62236OpenAlexW3049511769MaRDI QIDQ828501
Yogesh Mani Tripathi, Fatih Kızılaslan, Amulya Kumar Mahto
Publication date: 8 January 2021
Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s42519-020-00123-6
progressive type-II censoringLindley approximationinverted exponentiated distributionsmulticomponent stress-strength reliabilityTierney-Kadane method
Point estimation (62F10) Censored data models (62N01) Bayesian inference (62F15) Applications of statistics in engineering and industry; control charts (62P30) Reliability and life testing (62N05)
Related Items
Multicomponent stress-strength reliability based on a right long-tailed distribution, Reliability estimation of the stress–strength model with non-identical jointly type-II censored Weibull component strengths, Reliability inference for multicomponent stress-strength model from Kumaraswamy-G family of distributions based on progressively first failure censored samples, Inference for a general family of inverted exponentiated distributions under unified hybrid censoring with partially observed competing risks data
Cites Work
- Unnamed Item
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- The art of progressive censoring. Applications to reliability and quality
- Inference for the generalized Rayleigh distribution based on progressively censored data
- Estimation and prediction for a progressively censored generalized inverted exponential distribution
- Classical and Bayesian estimation of \(P(X<Y)\) using upper record values from Kumaraswamy's distribution
- Reliability estimation in a multicomponent stress-strength model for Burr XII distribution under progressive censoring
- Bayesian inference and life testing plans for generalized exponential distribution
- Bayesian inference for Pareto populations
- Estimation of reliability in a multicomponent stress-strength model based on a bivariate Kumaraswamy distribution
- Classical and Bayesian estimation of reliability in a multicomponent stress-strength model based on a general class of inverse exponentiated distributions
- Classical and Bayesian estimation of reliability in a multicomponent stress-strength model based on the proportional reversed hazard rate mode
- Stress-strength reliability estimation under the standard two-sided power distribution
- Estimation and testing procedures for the reliability functions of Kumaraswamy-G distributions and a characterization based on records
- Generalized inferences of \(R\) = \(\Pr (X>Y)\) for Pareto distribution
- Estimating the parameters of a Burr distribution under progressive type II censoring
- Estimation of reliability in a multicomponent stress-strength model for inverted exponentiated Rayleigh distribution under progressive censoring
- Estimation of reliability of multicomponent stress–strength for a Kumaraswamy distribution
- Statistical inferences of a two-parameter distribution with the bathtub shape based on progressive censored sample
- A Distribution-Free Upper Confidence Bound for $\Pr \{Y < X\}$, Based on Independent Samples of $X$ and $Y$
- Life Distributions
- Estimation of Reliability in a Multicomponent Stress-Strength Model
- Stress–strength reliability of a non-identical-component-strengths system based on upper record values from the family of Kumaraswamy generalized distributions
- Classical, Bayesian, and generalized inferences of the reliability of a multicomponent system with censored data
- Estimation and prediction for Chen distribution with bathtub shape under progressive censoring
- Reliability estimation in multicomponent stress–strength model for Topp-Leone distribution
- Bayes estimators of the reliability function and parameter of inverted exponential distribution using informative and non-informative priors
- Likelihood estimation for a general class of inverse exponentiated distributions based on complete and progressively censored data
- Parameter and reliability estimation for an exponentiated half-logistic distribution under progressive type II censoring
- Statistical inferences for stress–strength in the proportional hazard models based on progressive Type-II censored samples