# ProbabilityDistribution

ProbabilityDistribution[pdf,{x,xmin,xmax}]

represents the continuous distribution with PDF pdf in the variable x where the pdf is taken to be zero for and .

ProbabilityDistribution[pdf,{x,xmin,xmax,dx}]

represents the discrete distribution with PDF pdf in the variable x where the pdf is taken to be zero for and .

ProbabilityDistribution[pdf,{x,},{y,},]

represents a multivariate distribution with PDF pdf in the variables x, y, , etc.

ProbabilityDistribution[{"CDF",cdf},]

represents a probability distribution with CDF given by cdf.

ProbabilityDistribution[{"SF",sf},]

represents a probability distribution with survival function given by sf.

ProbabilityDistribution[{"HF",hf},]

represents a probability distribution with hazard function given by hf.

# Details and Options # Examples

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## Basic Examples(1)

Define a continuous probability distribution:

 In:= Probability density function:

 In:= Out= In:= Out= Cumulative distribution function:

 In:= Out= In:= Out= The mean and variance:

 In:= Out= In:= Out= ## Possible Issues(4)

Introduced in 2010
(8.0)
|
Updated in 2015
(10.2)