Entropies and Fisher information matrix for extended beta distribution

ABSTRACT: The extended beta type 1 distribution has the probability density function proportional to x α−1 (1 − x) β−1 exp[−σ/x(1 − x)], 0 < x < 1. In this article, we derive the Fisher information matrix and entropies such as R´enyi and Shannon for the extended beta type 1 distribution....

Full description

Autores:

Nagar, Daya Krishna
Zarrazola Rivera, Edwin de Jesús
Sánchez Herrera, Luz Estela

Tipo de recurso:

Article of investigation

Fecha de publicación:

2015

Institución:

Universidad de Antioquia

Repositorio:

Repositorio UdeA

Idioma:

eng

OAI Identifier:

oai:bibliotecadigital.udea.edu.co:10495/26794

Acceso en línea:

http://hdl.handle.net/10495/26794

Palabra clave:

Entropy
Entropía
Beta function
Extended beta function
Information matrix
Probability distribution
http://aims.fao.org/aos/agrovoc/c_1fc62594

Rights

openAccess

License

http://creativecommons.org/licenses/by/2.5/co/