Related Distributions
- Exponential distribution is closed under scaling by a positive factor. If then
- If and then
- If then
- The Benktander Weibull distribution reduces to a truncated exponential distribution
- If then (Benktander Weibull distribution)
- The exponential distribution is a limit of a scaled beta distribution:
- If then (Erlang distribution)
- If then (Generalized extreme value distribution)
- If then (gamma distribution)
- If and then (Laplace distribution)
- If and then
- If then
- If then (logistic distribution)
- If and then (logistic distribution)
- If then (Pareto distribution)
- If then
- Exponential distribution is a special case of type 3 Pearson distribution
- If then (power law)
- If then (Rayleigh distribution)
- If then (Weibull distribution)
- If then (Weibull distribution)
- If (Uniform distribution (continuous)) then
- If (Poisson distribution) where then (geometric distribution)
- If and then (K-distribution)
- The Hoyt distribution can be obtained from Exponential distribution and Arcsine distribution
- If and then
- If and then
- If, then : see skew-logistic distribution.
- Y ∼ Gumbel(μ, β), i.e. Y has a Gumbel distribution, if Y = μ − βlog(Xλ) and X ∼ Exponential(λ).
- X ∼ χ22, i.e. X has a chi-squared distribution with 2 degrees of freedom, if .
- Let X ∼ Exponential(λX) and Y ∼ Exponential(λY) be independent. Then has probability density function . This can be used to obtain a confidence interval for .
Other related distributions:
- Hyper-exponential distribution – the distribution whose density is a weighted sum of exponential densities.
- Hypoexponential distribution – the distribution of a general sum of exponential random variables.
- exGaussian distribution – the sum of an exponential distribution and a normal distribution.
Read more about this topic: Exponential Distribution
Famous quotes containing the word related:
“One does not realize the historical sensation as a re-experiencing, but as an understanding that is closely related to the understanding of music, or rather of the world by means of music.”
—Johan Huizinga (18721945)
Related Subjects
Related Phrases
Related Words