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Bayesian estimation for Dagum distribution based on progressive type I interval censoring
In this paper, we consider Dagum distribution which is capable of modeling various shapes of failure rates and aging criteria. Based on progressively type-I interval censoring data, we first obtain the maximum likelihood estimators and the approximate confidence intervals of the unknown parameters o...
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| Gepubliceerd in: | PLoS One |
|---|---|
| Hoofdauteurs: | , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Public Library of Science
2021
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8172033/ https://ncbi.nlm.nih.gov/pubmed/34077455 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0252556 |
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