Difference between revisions of "Multinomial"
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= Multinomial( N,theta : postiive ; I : Index ) = | = Multinomial( N,theta : postiive ; I : Index ) = | ||
Revision as of 16:59, 20 April 2007
Multinomial( N,theta : postiive ; I : Index )
Returns the Multinomial Distribution.
The multinomial distribution is a generalization of the Binomial distribution to N possible outcomes. For example, if you were to roll a fair die N times, an outcome would be the number of times each of the six numbers appears. Theta would be the probability of each outcome, where Sum(theta,I)=1, and index I is the list of possible outcome. If theta doesn't sum to 1, it is normalized.
Each sample is a vector indexed by I indicating the number of times the corresponding outcome (die number) occurred during that sample point. Each sample will have the property that Sum( result, I ) = N.
Library
Multivariate Distributions.ana
See Also
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