Estimation and testing procedures for the reliability characteristics of Kumaraswamy-G distributions based on the progressively first failure censored samples

DOI10.1007/s12597-021-00523-7OpenAlexW3159698067MaRDI QIDQ2085463

Yanyan Li

Publication date: 18 October 2022

Published in: Opsearch (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s12597-021-00523-7

zbMATH Keywords

maximum likelihood estimationconfidence intervaluniformly minimum variance unbiased estimationhypotheses testingstress-strength reliabilityprogressive first failure censoringKumaraswamy-G distribution

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Point estimation (62F10) Reliability and life testing (62N05) Operations research and management science (90Bxx)

Related Items (3)

Strategy selection for multi-objective redundancy allocation problem in a k-out-of-n system considering the mean time to failure ⋮ An inferential analysis for the Weibull-G family of distributions under progressively censored data ⋮ On the reliability estimation of multicomponent stress–strength model for Burr XII distribution using progressively first-failure censored samples

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