Optimal B-robust estimators for the parameters of the power Lindley distribution
© 2020 Informa UK Limited, trading as Taylor & Francis Group.
| Veröffentlicht in: | Journal of applied statistics. - 1991. - 48(2021), 13-15 vom: 14., Seite 2369-2388 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2021
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| Zugriff auf das übergeordnete Werk: | Journal of applied statistics |
| Schlagworte: | Journal Article Least squares M-estimation maximum likelihood optimal B-robust power Lindley |
| Zusammenfassung: | © 2020 Informa UK Limited, trading as Taylor & Francis Group. Parameters of a distribution are generally estimated by using the classical methods such as maximum likelihood (ML) and least squares (LS) estimation. However, these classical methods are very sensitive to outliers. This study, therefore, proposes the application of the optimal B-robust (OBR) estimation method, which is resistant to outliers, to estimate the parameters of power Lindley (PL) distribution. We also provide a simulation study and a real data example to compare the performance of the OBR estimators with the performances of the ML, LS, and the regression M estimators |
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| Beschreibung: | Date Revised 16.06.2022 published: Electronic-eCollection Citation Status PubMed-not-MEDLINE |
| ISSN: | 0266-4763 |
| DOI: | 10.1080/02664763.2020.1854201 |