Parametric Estimation under Type I Censoring Geometric Distribution with Missing Data
This manuscript's main objective is to estimate the geometric distribution's parameters using progressive type-I censored data with missing data. The efficiency of estimators is studied. Moreover, the estimators' consistency property is shown. To produce the estimators, the maximum likelihood techni...
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| Autore principale: | |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Cairo University, Faculty of Graduate Studies for Statistical Research (FGSSR)
2024-12-01
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| Serie: | The Egyptian Statistical Journal |
| Soggetti: | |
| Accesso online: | https://esju.journals.ekb.eg/article_396748_fc1fc26fbd1f7bc3d80249ec1e1ef2ee.pdf |
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