Reliability estimation in a multicomponent stress-strength model for Burr XII distribution under progressive censoring

DOI10.1214/18-BJPS426zbMath1445.62256MaRDI QIDQ783310

Raj Kamal Maurya, Yogesh Mani Tripathi

Publication date: 12 August 2020

Published in: Brazilian Journal of Probability and Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.bjps/1588579225

zbMATH Keywords

uniformly minimum variance unbiased estimatormaximum likelihood estimateprogressive censoringBayes estimatemulticomponent reliability

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12) Point estimation (62F10) Censored data models (62N01) Exact distribution theory in statistics (62E15) Reliability and life testing (62N05)

Related Items (9)

Estimation of reliability in a multicomponent stress-strength model for a general class of inverted exponentiated distributions under progressive censoring ⋮ Multicomponent stress-strength reliability based on a right long-tailed distribution ⋮ Estimation and prediction for a new Pareto-type distribution under progressive type-II censoring ⋮ Estimation of stress-strength reliability for multicomponent system with a generalized inverted exponential distribution ⋮ Estimation of multicomponent stress–strength reliability based on unit Burr XII distribution: an application to dam occupancy rate of Istanbul, Turkey ⋮ Unnamed Item ⋮ On the reliability estimation of multicomponent stress–strength model for Burr XII distribution using progressively first-failure censored samples ⋮ Reliability inference for multicomponent stress-strength model from Kumaraswamy-G family of distributions based on progressively first failure censored samples ⋮ Classical and Bayesian estimation of multicomponent stress-strength reliability for exponentiated Pareto distribution

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