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Individual differences |
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In probability theory and statistics, the exponential-logarithmic (EL) distribution is a family of lifetime distributions with decreasing failure rate, defined on the interval (0, ∞). This distribution is parameterized by two parameters and .
|Probability density function (pdf)|
|Cumulative distribution function (cdf)|
|Moment-generating function (mgf)|
The study of lengths of organisms, devices, materials, etc., is of major importance in the biological and engineering sciences. In general, the lifetime of a device is expected to exhibit decreasing failure rate (DFR) when its behavior over time is characterized by 'work-hardening' (in engineering terms) or 'immunity' (in biological terms).
The exponential-logarithmic model, together with its various properties, are studied by Tahmasbi and Rezaei (2008) This model is obtained under the concept of population heterogeneity (through the process of compounding).
Properties of the distribution Edit
where and . This function is strictly decreasing in and tends to zero as . The EL distribution has its modal value of the density at x=0, given by
The EL reduces to the exponential distribution with rate parameter , as .
The cumulative distribution function is given by
and hence, the median is given by
The moment generating function of can be determined from the pdf by direct integration and is given by
where is a hypergeometric function. This function is also known as Barnes's extended hypergeometric function. The definition of is
where and .
The moments of can be derived from . For , the raw moments are given by
The survival, hazard and mean residual life functions Edit
The mean residual lifetime of the EL distribution is given by
where is the dilogarithm function
Random number generation Edit
Estimation of the parameters Edit
The EL distribution has been generalized to form the Weibull-logarithmic distribution.
If X is defined to be the random variable which is the minimum of N independent realisations from an exponential distribution with rate paramerter β, and if N is a realisation from a logarithmic distribution (where the parameter p in the usual parameterisation is replaced by (1 − p)), then X has the exponential-logarithmic distribution in the parameterisation used above.
- ↑ 1.0 1.1 1.2 Tahmasbi, R., Rezaei, S., (2008), "A two-parameter lifetime distribution with decreasing failure rate", Computational Statistics and Data Analysis, 52 (8), 3889-3901. DOI:10.1016/j.csda.2007.12.002
- ↑ Lewin, L. (1981) Polylogarithms and Associated Functions, North Holland, Amsterdam.
- ↑ Ciumara1,Roxana; Preda2, Vasile (2009) "The Weibull-logarithmic distribution in lifetime analysis and its properties". In: L. Sakalauskas, C. Skiadas and E. K. Zavadskas (Eds.) Applied Stochastic Models and Data Analysis, The XIII International Conference, Selected papers. Vilnius, 2009 ISBN 978-9955-28-463-5
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