Novel closed-form point estimators for a weighted exponential family derived from likelihood equations
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866911887315173376 |
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| author | Vila, Roberto Nakano, Eduardo Saulo, Helton |
| author_facet | Vila, Roberto Nakano, Eduardo Saulo, Helton |
| contents | In this paper, we propose and investigate closed-form point estimators for a weighted exponential family. We also develop a bias-reduced version of these proposed closed-form estimators through bootstrap methods. Estimators are assessed using a Monte Carlo simulation, revealing favorable results for the proposed bootstrap bias-reduced estimators. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_16192 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Novel closed-form point estimators for a weighted exponential family derived from likelihood equations Vila, Roberto Nakano, Eduardo Saulo, Helton Methodology In this paper, we propose and investigate closed-form point estimators for a weighted exponential family. We also develop a bias-reduced version of these proposed closed-form estimators through bootstrap methods. Estimators are assessed using a Monte Carlo simulation, revealing favorable results for the proposed bootstrap bias-reduced estimators. |
| title | Novel closed-form point estimators for a weighted exponential family derived from likelihood equations |
| topic | Methodology |
| url | https://arxiv.org/abs/2405.16192 |