Multinomial Distribution Graph. The multinomial distribution describes the probability of obtaining a specific number of counts for k different outcomes when each outcome has a fixed probability of occurring. Wojciech szpankowski dynamic graphs compression and dirchlet multinomial entropy.
Integer say n specifying the total number of objects that are put into k boxes in the typical multinomial experiment. The multinomial distribution describes the probability of obtaining a specific number of counts for k different outcomes when each outcome has a fixed probability of occurring. Beta binomial distribution is both a special case of dirichlet multinomial distribution for m 2 and a marginal distribution for dm n.
Can be found by the following formula.
For n independent trials each of which leads to a success for exactly one of k categories with each category having a given fixed success probability the multinomial distribution gives the. Question how to graph multinomial distributions. Beta binomial distribution is both a special case of dirichlet multinomial distribution for m 2 and a marginal distribution for dm n. Suppose that a bag contains 8 balls.
