On matrix-variate Birnbaum–Saunders distributions and their estimation and application

Diverse phenomena from the real-world can be modeled using random matrices, allowing matrix-variate distributions to be considered. The normal distribution is often employed in this modeling, but usually the mentioned random matrices do not follow such a distribution. An asymmetric non-normal model...

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Autores:
Tipo de recurso:
Fecha de publicación:
2015
Institución:
Universidad de Medellín
Repositorio:
Repositorio UDEM
Idioma:
eng
OAI Identifier:
oai:repository.udem.edu.co:11407/1554
Acceso en línea:
http://hdl.handle.net/11407/1554
Palabra clave:
Computer language
Data analysis
Elliptically contoured distribution
Maximum likelihood estimator
Monte Carlo method
Shape theory
Rights
restrictedAccess
License
http://purl.org/coar/access_right/c_16ec