Two additional key characteristics of a multinomial distribution are that the trials it illustrates must be independent (e.g., in the dice experiment, rolling a five does not have any impact on the number that will be rolled next) and the probability of each possible result must be constant (e.g., on each roll, there is a one in six chance of any number on the die coming up).
Investment dictionary. Academic. 2012.
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