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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| Главный автор: | |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Cairo University, Faculty of Graduate Studies for Statistical Research (FGSSR)
2024-12-01
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| Серии: | The Egyptian Statistical Journal |
| Предметы: | |
| Online-ссылка: | https://esju.journals.ekb.eg/article_396748_fc1fc26fbd1f7bc3d80249ec1e1ef2ee.pdf |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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