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...

Full description

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
Description
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.