Inference in Multiple Linear Regression Model with Generalized Secant Hyperbolic Distribution Errors
We study multiple linear regression model under non-normally distributed random error by considering the family of generalized secant hyperbolic distributions. We derive the estimators of model parameters by using modified maximum likelihood methodology and explore the properties of the modified max...
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| Publié dans: | Ingeniería y Ciencia |
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| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Universidad EAFIT
2021
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| Sujets: | |
| Accès en ligne: | https://www.redalyc.org/articulo.oa?id=83582469003 |
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