Reliability inference for multicomponent stress-strength model from Kumaraswamy-G family of distributions based on progressively first failure censored samples
DOI10.1007/s00180-021-01180-6zbMath1505.62351OpenAlexW4206722858MaRDI QIDQ2095716
Publication date: 15 November 2022
Published in: Computational Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00180-021-01180-6
maximum likelihood estimationBayesian estimationprogressive first failure censoringmulticomponent stress-strength reliabilityKumaraswamy-G family of distributions
Computational methods for problems pertaining to statistics (62-08) Point estimation (62F10) Bayesian inference (62F15) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)
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Cites Work
- Unnamed Item
- Estimation of the parameters of life for Gompertz distribution using progressive first-failure censored data
- On progressively first failure censored Lindley distribution
- Reliability estimation in a multicomponent stress-strength model for Burr XII distribution under progressive censoring
- Estimation of reliability in a multicomponent stress-strength model for a general class of inverted exponentiated distributions under progressive censoring
- On estimation based on progressive first-failure-censored sampling
- Bayesian and classical estimation of reliability in a multicomponent stress-strength model under adaptive hybrid progressive censored data
- Reliability estimation in a multicomponent stress-strength model based on inverse Weibull distribution
- Estimation and prediction for a progressively first-failure censored inverted exponentiated Rayleigh distribution
- On estimation of reliability in a multicomponent stress-strength model for a Kumaraswamy distribution based on progressively censored sample
- Objective Bayesian analysis for generalized exponential stress-strength model
- Burr-XII Distribution Parametric Estimation and Estimation of Reliability of Multicomponent Stress-Strength
- On the Estimation of Parameters of Kumaraswamy-GDistributions
- Estimation of reliability of multicomponent stress–strength for a Kumaraswamy distribution
- A new family of generalized distributions
- On the reliability estimation of multicomponent stress–strength model for Burr XII distribution using progressively first-failure censored samples
- 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
- Failure–censored reliability sampling plans for the exponential distribution
- Estimation of stress–strength reliability for generalized Maxwell failure distribution under progressive first failure censoring
- On estimating the reliability in a multicomponent stress-strength model based on Chen distribution
- Estimation of δ=P(X<Y) for Burr XII distribution based on the progressively first failure-censored samples
- Equation of State Calculations by Fast Computing Machines
- General results for the Kumaraswamy-G distribution
- Monte Carlo sampling methods using Markov chains and their applications
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