1 - 10 of 75 for BetaDistributionSearch Results
BetaDistribution   (Built-in Mathematica Symbol)
BetaDistribution[\[Alpha], \[Beta]] represents a continuous beta distribution with shape parameters \[Alpha] and \[Beta].
Statistics`ContinuousDistributions`   (Mathematica Compatibility Information)
Distributions defined in this package have been added to the built-in Mathematica kernel. The input syntax for UniformDistribution has changed. Random and RandomArray are ...
Bounded Domain Distributions   (Mathematica Guide)
Bounded domain distributions naturally come up when random variables should only vary in a finite interval. Some distributions, like beta, occur in a variety of ways, ...
Functions Used in Statistics   (Mathematica Guide)
Mathematica's sophisticated algorithms for handling higher mathematical functions to arbitrary precision—and in symbolic form—immediately brings a new level of accuracy—and ...
KumaraswamyDistribution   (Built-in Mathematica Symbol)
KumaraswamyDistribution[\[Alpha], \[Beta]] represents a Kumaraswamy distribution with shape parameters \[Alpha] and \[Beta].
PERTDistribution   (Built-in Mathematica Symbol)
PERTDistribution[{min, max}, c] represents a PERT distribution with range min to max and mode at c. PERTDistribution[{min, max}, c, \[Lambda]] represents a modified PERT ...
Likelihood   (Built-in Mathematica Symbol)
Likelihood[dist, {x_1, x_2, ...}] gives the likelihood function for observations x_1, x_2, ... from the distribution dist. FLikelihood[proc, {{t_1, x_1}, {t_2, x_2}, ...}] ...
Discrete Distributions   (Mathematica Tutorial)
The functions described here are among the most commonly used discrete univariate statistical distributions. You can compute their densities, means, variances, and other ...
ArcSinDistribution   (Built-in Mathematica Symbol)
ArcSinDistribution[{x min, x max}] represents the arc sine distribution supported between x min and x max.
New in 6.0: Statistics   (Mathematica Guide)
Version 6.0 introduced integrated highly efficient support for a wide range of statistical functions and operations, both on explicit data and on symbolic representations of ...
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