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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.04422 |
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| _version_ | 1866912223150997504 |
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| author | Yadav, Pooja Srivastava, Tanuja |
| author_facet | Yadav, Pooja Srivastava, Tanuja |
| contents | The maximum likelihood degree of a statistical model refers to the number of solutions, where the derivative of the log-likelihood function is zero, over the complex field. This paper examines the maximum likelihood degree of the parameter in Farlie-Gumbel-Morgenstern bivariate exponential distribution. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_04422 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | The Maximum Likelihood Degree of Farlie Gumbel Morgenstern Bivariate Exponential Distribution Yadav, Pooja Srivastava, Tanuja Statistics Theory Commutative Algebra The maximum likelihood degree of a statistical model refers to the number of solutions, where the derivative of the log-likelihood function is zero, over the complex field. This paper examines the maximum likelihood degree of the parameter in Farlie-Gumbel-Morgenstern bivariate exponential distribution. |
| title | The Maximum Likelihood Degree of Farlie Gumbel Morgenstern Bivariate Exponential Distribution |
| topic | Statistics Theory Commutative Algebra |
| url | https://arxiv.org/abs/2502.04422 |