Robust estimation of parameters in logistic regression via solving the Cramer-von Mises type L2 optimization problem
Fuente:
arXiv
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| Auteur principal: | |
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| Format: | Preprint |
| Publié: |
2017
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| _version_ | 1866912765691559936 |
|---|---|
| author | Kim, Jiwoong |
| author_facet | Kim, Jiwoong |
| contents | This paper proposes a novel method to estimate parameters in a logistic regression model. After obtaining the estimators, their asymptotic properties are rigorously investigated. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_1703_07044 |
| institution | arXiv |
| publishDate | 2017 |
| record_format | arxiv |
| spellingShingle | Robust estimation of parameters in logistic regression via solving the Cramer-von Mises type L2 optimization problem Kim, Jiwoong Statistics Theory This paper proposes a novel method to estimate parameters in a logistic regression model. After obtaining the estimators, their asymptotic properties are rigorously investigated. |
| title | Robust estimation of parameters in logistic regression via solving the Cramer-von Mises type L2 optimization problem |
| topic | Statistics Theory |
| url | https://arxiv.org/abs/1703.07044 |