Difference between revisions of "Bernoulli distribution"
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[[Category:Distribution Functions]] | [[Category:Distribution Functions]] | ||
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| − | + | = Bernoulli( P ) = | |
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| + | Creates a discrete probability distribution with probability P of result 1 and probability (1 - P) of result 0. P is a probability value or array of probabilities, each between 0 and 1. The Bernoulli distribution is the same as: | ||
| + | If [[Uniform]](0, 1) < P Then 1 Else 0 | ||
| + | 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 bernoulli values that are independent over indexes In1, In2, and In3, use: | ||
| + | Bernoulli( P, Over:In1,In2,In3 ) | ||
| + | |||
| + | = Library = | ||
| + | |||
| + | Distributions | ||
| + | |||
| + | = See Also = | ||
| + | |||
| + | * [[Uniform]] | ||
Revision as of 23:03, 1 August 2007
Bernoulli( P )
Creates a discrete probability distribution with probability P of result 1 and probability (1 - P) of result 0. P is a probability value or array of probabilities, each between 0 and 1. The Bernoulli distribution is the same as:
If Uniform(0, 1) < P Then 1 Else 0
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 bernoulli values that are independent over indexes In1, In2, and In3, use:
Bernoulli( P, Over:In1,In2,In3 )
Library
Distributions
See Also
Comments
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