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Parametric Prediction Limits for Generalized Exponential Distribution Using Record Observations |
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PP: 135-149 |
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Author(s) |
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A.H. Abd Ellah,
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Abstract |
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| In this paper, based on a set of upper record values from the generalized exponential
(GE), Bayesian, non-Bayesian and empirical Bayes estimate is derived for the parameters
of the Generalized Exponential (GE) model based on record statistics. The estimate
is obtained using the squared error loss and Varian’s linear-exponential (LINEX) loss
functions, and compared with the corresponding maximum likelihood and Bayes estimates.
Empirical Bayes prediction bounds for future record values are also obtained.
Finally, practical examples using real record values are given to illustrate the application
of the results.
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