A computational algorithm for the evaluation on the lifetime performance index of products with Rayleigh distribution under progressive type I interval censoring

DOI10.1016/j.cam.2017.07.004zbMath1391.62303OpenAlexW2741419953MaRDI QIDQ2406324

Chen Lin, Wen-Jui Chang, Chia-Wei Chang, Ying-Tzu Lin, Shu-Fei Wu

Publication date: 27 September 2017

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2017.07.004

zbMATH Keywords

maximum likelihood estimatorprocess capability indicesRayleigh distributioncensored sampletesting algorithmic procedure

Mathematics Subject Classification ID

Censored data models (62N01) Applications of statistics in engineering and industry; control charts (62P30) Reliability, availability, maintenance, inspection in operations research (90B25)

Related Items (5)

Assessing the lifetime performance index with Lomax distribution based on progressive type I interval censored sample ⋮ Inference on a progressive type I interval-censored truncated normal distribution ⋮ A HYPOTHESIS TESTING PROCEDURE OF ASSESSMENT FOR THE LIFETIME PERFORMANCE INDEX UNDER A GENERAL CLASS OF INVERSE EXPONENTIATED DISTRIBUTIONS WITH PROGRESSIVE TYPE I INTERVAL CENSORING ⋮ Estimation and prediction for the Rayleigh distribution based on double Type-I hybrid censored data ⋮ Power comparison of the testing on the lifetime performance index for Rayleigh lifetime products under progressive type I interval censoring

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