Multinomial Distribution Example. For example suppose that two chess players had played numerous games and it was determined that the probability that player a would win is 0 40 the probability that player b would win is 0 35 and the probability that the game would end in a draw is 0 25. A multinomial experiment will have a multinomial distribution.
The multinomial distribution can be used to compute the probabilities in situations in which there are more than two possible outcomes. A binomial experiment will have a binomial distribution. In probability theory the multinomial distribution is a generalization of the binomial distribution for example it models the probability of counts for each side of a k sided die rolled n times.
For example bayes rule can be used to predict the pressure of a system given the temperature and statistical data for the system.
Using bayes rule is one of the major applications of multinomial distributions. For example bayes rule can be used to predict the pressure of a system given the temperature and statistical data for the system. In probability theory the multinomial distribution is a generalization of the binomial distribution for example it models the probability of counts for each side of a k sided die rolled n times. A multinomial experiment will have a multinomial distribution.
