Inference for Weibull distribution based on progressively Type-II hybrid censored data
Author:
Publisher
Elsevier BV
Subject
Applied Mathematics,Statistics, Probability and Uncertainty,Statistics and Probability
Reference24 articles.
1. Approximate MLEs for the location and scale parameters of the extreme value distribution with censoring;Balakrishnan;IEEE Transactions on Reliability,1991
2. Progressive censoring methodology: an appraisal;Balakrishnan;TEST,2007
3. Progressive Censoring: Theory, Methods, and Applications;Balakrishnan,2000
4. Point and interval estimation for Gaussian distribution based on progressively Type-II censored samples;Balakrishnan;IEEE Transactions on Reliability,2003
5. Inference for the extreme value distribution under progressive Type-II censoring;Balakrishnan;Journal of Statistical Computation and Simulation,2004
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1. Bibliography;Hybrid Censoring: Models, Methods and Applications;2023
2. Progressive hybrid censored data;Hybrid Censoring: Models, Methods and Applications;2023
3. Estimation in Weibull Distribution Under Progressively Typ e-I Hybrid Censored Data;REVSTAT-STAT J;2022
4. Reliability Analysis for Mixture Weibull Distribution with Progressively Censored Data Based on Stochastic Expectation-maximization Method;2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS);2022-08-21
5. Prediction of times to failure of censored units under generalized progressive hybrid censoring scheme;Computational Statistics;2022-01-31
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