Difference between revisions of "Bernoulli distribution"
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== See Also == | == See Also == | ||
* [[Uniform]] | * [[Uniform]] | ||
− | * [[ | + | * [[Parametric discrete distributions]] |
* [[Distribution Densities Library]] | * [[Distribution Densities Library]] |
Revision as of 22:41, 27 January 2016
Bernoulli(P)
Creates a discrete probability distribution with probability «P» of 1 (True) and probability (1 - P) of 0 (False). «P» is a probability value or array of probabilities, between 0 and 1. The result is the equivalent to:
If Uniform(0, 1) < P Then 1 Else 0
Or even just:
Uniform(0, 1) < P
If «P» is greater than 1, the distribution is made up of all 1’s. If «P» is less than 0, the distribution is made up of all 0’s.
To generate an Array of Bernoulli values that are independent over index I, use the optional «Over» parameter:
Bernoulli(P, Over: I)
You can extend this to an Array with multiple dimensions, as:
Bernoulli(P, Over: I, J, K)
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