Bayesian and non-Bayesian methods of estimation are used to make inferences given a random sample of observations from a generalized Burr distribution (GBD). Complete and type II censored samples are considered and inferences are made on the unknown parameters. The one-parameter GBD is also studied. A numerical illustration is provided by means of a numerical example.
Ashour, S., & El-Wakeel, M. A. (1992). Estimation of the Unknown Parameters of the Generalized Burr Distribution. The Egyptian Statistical Journal, 36(1), 1-14. doi: 10.21608/esju.1992.314848
MLA
S. K. Ashour; M. A. M. H. El-Wakeel. "Estimation of the Unknown Parameters of the Generalized Burr Distribution", The Egyptian Statistical Journal, 36, 1, 1992, 1-14. doi: 10.21608/esju.1992.314848
HARVARD
Ashour, S., El-Wakeel, M. A. (1992). 'Estimation of the Unknown Parameters of the Generalized Burr Distribution', The Egyptian Statistical Journal, 36(1), pp. 1-14. doi: 10.21608/esju.1992.314848
VANCOUVER
Ashour, S., El-Wakeel, M. A. Estimation of the Unknown Parameters of the Generalized Burr Distribution. The Egyptian Statistical Journal, 1992; 36(1): 1-14. doi: 10.21608/esju.1992.314848
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