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Optimal prediction-intervals for the exponential distribution, based on generalized order statistics
Journal article   Peer reviewed

Optimal prediction-intervals for the exponential distribution, based on generalized order statistics

M. Zayed Raqab and Mohammad Z. Raqab
IEEE transactions on reliability, Vol.50(1), pp.112-115
01/03/2001
DOI: https://doi.org/10.1109/24.935025

Abstract

Distribution functions Electric shock Error analysis Exponential distribution Maximum likelihood estimation Predictive models Probability density function Random variables Statistical distributions Voltage
This paper proposes optimal prediction intervals for the future generalized order statistic (GOS) based on the first r GOS (ordinary order statistics, usual record values, k-record values) from an exponential population. A conditional argument is considered for obtaining an optimal prediction interval for future GOS. A numerical example illustrates this technique.

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