About one problem of Bernoulli and Euler from the theory of statistical estimation
We consider some results by D. Bernoulli and L. Euler on the method of maximum likelihood in parametric estimation. The statistical analysis is made by considering a parametric family with a shift parameter.
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2006 |
| País: | España |
| Institución: | Universitat Autònoma de Barcelona |
| Repositorio: | Dipòsit Digital de Documents de la UAB |
| Idioma: | inglés |
| OAI Identifier: | oai:ddd.uab.cat:97467 |
| Acceso en línea: | https://ddd.uab.cat/record/97467 |
| Access Level: | acceso abierto |
| Palabra clave: | Asymptotic normality Sample mean Bernoulli's estimator Euler's estimator Maximum likelihood Unbiased estimator |
| Sumario: | We consider some results by D. Bernoulli and L. Euler on the method of maximum likelihood in parametric estimation. The statistical analysis is made by considering a parametric family with a shift parameter. |
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