A new two sample type-II progressive censoring scheme

DOI10.1080/03610926.2018.1472781OpenAlexW2964136327WikidataQ129006859 ScholiaQ129006859MaRDI QIDQ5078136

Shuvashree Mondal, Debasis Kundu

Publication date: 20 May 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1609.05805

zbMATH Keywords

maximum likelihood estimatorprogressive censoring schemebootstrap confidence intervalexact confidence intervaljoint progressive censoring schemetype-II censoring schemetype-I censoring scheme

Mathematics Subject Classification ID

Point estimation (62F10) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Related Items (6)

Statistical inference for two Lindley populations under balanced joint progressive type-II censoring scheme ⋮ On two exponential populations under a joint adaptive type-II progressive censoring ⋮ Inferences based on a balanced joint progressive type-II censoring scheme for Lindley distributed lifetimes ⋮ Analysis of two Weibull populations under joint progressively hybrid censoring ⋮ Reliability inference for stress-strength model based on inverted exponential Rayleigh distribution under progressive Type-II censored data ⋮ Estimation for two exponential life time models under joint multiply type-II censoring

Cites Work

• The art of progressive censoring. Applications to reliability and quality
• On progressively censored generalized exponential distribution
• Stochastic monotonicity of the MLE of exponential mean under different censoring schemes
• Expected values of the number of failures for two populations under joint type-II progressive censoring
• Exact likelihood inference for two exponential populations under joint type-II censoring
• Progressive censoring methodology: an appraisal (with comments and rejoinder)
• Exact Likelihood Inference for Two Exponential Populations Under Joint Progressive Type-II Censoring
• Exact Likelihood Inference forkExponential Populations Under Joint Type-II Censoring
• Testing Statistical Hypotheses

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