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