Computational testing algorithmic procedure of assessment for lifetime performance index of Pareto products under progressive type I interval censoring

DOI10.1007/s00180-017-0717-3zbMath1417.62358OpenAlexW2593614095MaRDI QIDQ2358940

Jin-Yang Lu, Shu-Fei Wu

Publication date: 27 June 2017

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-017-0717-3

zbMATH Keywords

maximum likelihood estimatorPareto distributionprocess capability indicesprogressive type I interval censored sample

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Point estimation (62F10) Censored data models (62N01) Applications of statistics in engineering and industry; control charts (62P30) Reliability and life testing (62N05)

Related Items (1)

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

Cites Work

• Assessing the lifetime performance index of products with the exponential distribution under progressively type II right censored samples
• Optimal step-stress test under type I progressive group-censoring with random removals
• A Laguerre polynomial approximation for a goodness-of-fit test for exponential distribution based on progressively censored data
• Bayesian one-sample prediction of future observations under Pareto distribution
• PROGRESSIVE INTERVAL CENSORING: SOME MATHEMATICAL RESULTS WITH APPLICATIONS TO INFERENCE
• Planning step‐stress life test with progressively type I group‐censored exponential data
• Life Testing
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