Una nota sobre los estimadores de máxima verosimilitud en la distribución hipergeométrica
The method of maximum likelihood estimation is one of the most important statistical techniques, and it is widely used by statistical scientists. However for the hypergeometric distribution Hg(n,R,N), the maximum likelihood estimators of N and R are not clear in most of the statistical texts. In thi...
- Autores:
-
Zhang, Hanwen
- Tipo de recurso:
- Fecha de publicación:
- 2009
- Institución:
- Universidad Santo Tomás
- Repositorio:
- Universidad Santo Tomás
- Idioma:
- spa
- OAI Identifier:
- oai:repository.usta.edu.co:11634/39547
- Acceso en línea:
- https://revistas.usantotomas.edu.co/index.php/estadistica/article/view/37
http://hdl.handle.net/11634/39547
- Palabra clave:
- Distribución hipergeométrica
estimadores de máxima verosimilitud
- Rights
- License
- http://purl.org/coar/access_right/c_abf2
| Summary: | The method of maximum likelihood estimation is one of the most important statistical techniques, and it is widely used by statistical scientists. However for the hypergeometric distribution Hg(n,R,N), the maximum likelihood estimators of N and R are not clear in most of the statistical texts. In this paper, rigorous procedures in order to find the maximum likelihood estimator of N and R in a hypergeometric distribution are presented. |
|---|