Distributions
General Information:
Other resources (please verify these yourself before using):
The following content is a partial listing of some of the more commonly-recognized probability distributions, both discrete and continuous.
DISCRETE DISTRIBUTIONS
Hypergeometric Distribution
General
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StatSoft - Hypergeometric Distribution (n/a)
Binomial Distribution
General
Bernoulli Trial (StatSoft)
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Negative Binomial Distribution
General
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NIST - Negative Binomial Distribution (n/a)
StatSoft - Negative Binomial Distribution (n/a)
Arsham - Negative Binomial Distribution
See also:
Pascal distribution
Polya distribution
Geometric Distribution
General
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NIST - Geometric Distribution (n/a)
Arsham - Geometric Distribution
Poisson Distribution
General
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Arsham - Poisson Distribution
Uniform Distribution (discrete)
General
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NIST - Uniform Distribution (discrete)
StatSoft - Uniform Distribution (discrete)
Arsham - Uniform Distribution (discrete)
CONTINUOUS DISTRIBUTIONS
Normal Distribution
Other names: Gaussian Distribution
General
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Arsham - Normal Distribution
See also:
Log-normal Distribution
General
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Arsham - Lognormal Distribution
Uniform Distribution (continuous)
Other names: Rectangular Distribution
General
Related to the Beta distribution.
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Arsham - Uniform Distribution
Chi-square Distribution
General
Related to the Standard Normal (Z) and Gamma distributions.
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Arsham - Chi-square Distribution
Gamma Distribution
General
Related to the Chi-square distribution.
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Arsham - Gamma Distribution
Beta Distribution
General
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NIST - Beta Distribution
Arsham - Beta Distribution
Exponential Distribution
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Arsham - Exponential Distribution
Weibull Distribution
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Arsham - Weibull Distribution
Notes from the R package "survival" ('survreg' function):
There are multiple ways to parameterize a Weibull distribution. The survreg function imbeds it in a general location-scale familiy, which is a different parameterization than the rweibull function, and often leads to confusion.
survreg's scale = 1/(rweibull shape)
survreg's intercept = log(rweibull scale)
For the log-likelihood all parameterizations lead to the same value.
The same issues are found in SAS, depending on which procedure is used. Anyone using software to estimate weibull distribution parameters should be aware of this issue.
Logistic Distribution
General
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NIST - Logistic Distribution
Arsham - Logistic Distribution
F Distribution
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Arsham - F Distribution
Student's t Distribution
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Arsham - Student's t Distribution
R code for graphically comparing the Normal and Student's t distributions is in the file "Compare Normal vs t dist.R" at the bottom of this page.
(Courtesy of Dr. Juan Hu)
Standard Normal (Z) Distribution
General
Related to the Chi-square distribution.
More Information
NIST - Z Distribution
StatSoft - Z Distribution (n/a)
Wikipedia - Z Distribution
Arsham - Z Distribution
Other interesting distributions
Cauchy Distribution
General Information
An interesting aspect of the Cauchy distribution is that its variance (second moment about the mean) is undefined.
See also:
Arsham - Cauchy Distribution
Rayleigh Distribution
General
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NIST - Rayleigh Distribution
Arsham - Rayleigh Distribution
Extreme Value Distribution
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Arsham - Extreme Value Distribution
Double Exponential (aka Laplace) Distribution
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Arsham - Double Exponential (Laplace) Distribution
Generalized Gamma Distribution
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NIST - Generalized Gamma Distribution
StatSoft - Generalized Gamma Distribution
Arsham - Generalized Gamma Distribution
Gompertz Distribution
General
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NIST - Gompertz Distribution
Arsham - Gompertz Distribution
Pareto Distribution
General
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NIST - Pareto Distribution
Arsham - Pareto Distribution
Triangular Distribution
General
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StatSoft - Triangular Distribution (n/a)
Arsham - Triangular Distribution