11. A Mittag-Leffler distribution of order 0 is an exponential distribution . 12. For an exponential distribution , the tail looks just like the body of the distribution. 13. This comparison is often made relative to the normal distribution, or to the exponential distribution . 14. The Weibull distribution extends the exponential distribution to allow constant, increasing, or decreasing hazard rates. 15. Other examples of unimodal distributions include Cauchy distribution, Student's t-distribution, chi-squared distribution and exponential distribution . 16. The exponential distribution is not the same as the class of Poisson, and many others. 17. The Erlang distribution with shape parameter k equal to 1 simplifies to the exponential distribution . 18. In contrast, the exponential distribution describes the time for a continuous process to change state. 19. This is a known characteristic of the exponential distribution , i . e ., its memoryless property. 20. Benford's law also describes the exponential distribution and the ratio distribution of two exponential distributions well.
