So the multinomial distribution can model " n " independent rolls of a " k " sided die.
42.
On the other hand, the "'categorical distribution "'is a special case of the multinomial distribution.
43.
Pearson showed that the chi-squared distribution, the sum of multiple normal distributions, was such an approximation to the multinomial distribution
44.
This approximation arises as the true distribution, under the null hypothesis, if the expected value is given by a multinomial distribution.
45.
Furthermore, multinomial classification problems can also be tackled in one go by GEP-nets both with multigenic systems and multicellular systems.
46.
An extension of the binary logit model to cases where the dependent variable has more than 2 categories is the multinomial logit model.
47.
A multinomial discrete-choice model can examine the responses to these questions ( model "'I "').
48.
:See the multinomial theorem, which deals with this in generality, and may be useful to the problem you are considering.
49.
In Bayesian statistics, the Dirichlet distribution is the conjugate prior distribution of the categorical distribution ( and also the multinomial distribution ).
50.
They noted that the use of the multinomial distribution may be more appropriate than the use of a Poisson distribution for such data.
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