Point and Interval Estimation for the Lifetime Distribution of a k-Unit Parallel System Based on Progressively Type-II Censored Data

DOI10.1515/EQC.2007.175zbMath1379.62057MaRDI QIDQ3526951

Biswabrata Pradhan

Publication date: 25 September 2008

Published in: Economic Quality Control (Search for Journal in Brave)

zbMATH Keywords

maximum likelihood estimatorMLEcoverage probabilityprogressively type-II censoringbeta-expectation tolerance interval

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Point estimation (62F10) Estimation in survival analysis and censored data (62N02) Reliability and life testing (62N05)

Related Items (6)

The competing risks analysis for parallel and series systems using Type-II progressive censoring ⋮ Point and interval estimation under progressive type-I interval censoring with random removal ⋮ Likelihood inference for the component lifetime distribution based on progressively censored parallel systems data ⋮ Inference for the Component and System Lifetime Distribution of ak-unit Parallel System Based on System Data ⋮ Inference with progressively censored \(k\)-out-of-\(n\) system lifetime data ⋮ Inference for the scale parameter of lifetime distribution ofk-unit parallel system based on progressively censored data

Cites Work

• Analysis of type-II progressively hybrid censored data
• Approximate Tolerance Intervals, Based on Maximum Likelihood Estimates
• Interval Estimation of Parameters of Life from Progressively Censored Data
• Inference for the extreme value distribution under progressive Type-II censoring
• Tolerance limits for lifetime distribution ofk-unit parallel system
• Progressively Censored Samples in Life Testing
• Best Linear Invariant Estimation for Weibull Parameters under Progressive Censoring

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