The beta exponential distribution

Saralees Nadarajah and Samuel Kotz

Reliability Engineering and System Safety, 2006, vol. 91, issue 6, 689-697

Abstract: The exponential distribution is perhaps the most widely applied statistical distribution for problems in reliability. In this note, we introduce a generalization—referred to as the beta exponential distribution—generated from the logit of a beta random variable. We provide a comprehensive treatment of the mathematical properties of the beta exponential distribution. We derive expressions for the moment generating function, characteristic function, the first four moments, variance, skewness, kurtosis, mean deviation about the mean, mean deviation about the median, Rényi entropy, Shannon entropy, the distribution of sums and ratios, and the asymptotic distribution of the extreme order statistics. We also discuss simulation issues, estimation by the methods of moments and maximum likelihood and provide an expression for the Fisher information matrix. We hope that this generalization will attract wider applicability in reliability.

Keywords: Beta exponential distribution; Kurtosis; Rényi entropy (search for similar items in EconPapers)
Date: 2006
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Citations: View citations in EconPapers (43)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:91:y:2006:i:6:p:689-697

DOI: 10.1016/j.ress.2005.05.008

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