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MULTINOMIAL DISTRIBUTION
This is the distribution of outcomes expected if a certain number of independent trials are undertaken of a several separate BERNOUILLI PROCESSes, to determine a number of alternative outcomes. A special case, where the number of outcomes is 2, is the BINOMIAL DISTRIBUTION. The distribution depends upon the collection of parameter values of the corresponding BERNOULLI PROCESSes and upon the number of trials, 'n'. An alternative characterisation is as the outcome of a number of separate POISSON PROCESSes with separate rate parameters. Also see : TWO-WAY TABLEs.
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