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Inference for generalized exponential distribution based on generalized order statistics
Author(s) -
Eldesoky E. Afify
Publication year - 2015
Publication title -
international journal of applied mathematical research
Language(s) - English
Resource type - Journals
ISSN - 2227-4324
DOI - 10.14419/ijamr.v4i2.3852
Subject(s) - mathematics , exponential family , generalized integer gamma distribution , exponential distribution , statistics , natural exponential family , order statistic , gamma distribution , exponential function , generalized linear model , generalized gamma distribution , bayes' theorem , generalized beta distribution , inference , exponentially modified gaussian distribution , bayesian probability , distribution fitting , mathematical analysis , artificial intelligence , computer science
Estimation of a parameter of generalized exponential distribution (gexp) is obtained based on generalized order statistics. The maximum likelihood and Bayes methods are used for this purpose. Survival function and hazard rate are also computed. Estimation based on upper record values from generalized exponential distribution is obtained as a special case and compared by simulated data.

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