Exact Likelihood Inference forkExponential Populations Under Joint Progressive Type-II Censoring
DOI10.1080/03610918.2013.795594zbMath1328.62068OpenAlexW2112468248MaRDI QIDQ5259139
Kin-yat Liu, Feng Su, Narayanaswamy Balakrishnan
Publication date: 24 June 2015
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2013.795594
exponential distributionbiasmean square errorconditionalBayesian inferencelikelihood inferencecoverage probabilitiesbootstrap confidence intervalsMLEsconditional confidence intervalsjoint progressive type-II censoringconfidence bounds and intervals
Censored data models (62N01) Exact distribution theory in statistics (62E15) Reliability and life testing (62N05)
Related Items (14)
Cites Work
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- Exact likelihood inference for two exponential populations under joint type-II censoring
- A concept of generalized order statistics
- Progressive censoring methodology: an appraisal (with comments and rejoinder)
- Exact Likelihood Inference for Two Exponential Populations Under Joint Progressive Type-II Censoring
- Missing Data, Imputation, and the Bootstrap
- Exact likelihood inference for the exponential distribution under generalized Type-I and Type-II hybrid censoring
- Exact confidence bounds for an exponential parameter under hybrid censoring
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