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Mathematical Methods for Physics and Engineering - Matematica.NET

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PROBABILITY30.15.1 The multinomial distributionThe binomial distribution describes the probability of obtaining x ‘successes’ fromn independent trials, where each trial has only two possible outcomes. This maybe generalised to the case where each trial has k possible outcomes with respectiveprobabilities p 1 , p 2 , ..., p k . If we consider the r<strong>and</strong>om variables X i , i =1, 2,...,n,to be the number of outcomes of type i in n trials then we may calculate theirjoint probability functionf(x 1 ,x 2 ,...,x k )=Pr(X 1 = x 1 ,X 2 = x 2 , ..., X k = x k ),wherewemusthave ∑ ki=1 x i = n. Inn trials the probability of obtaining x 1outcomes of type 1, followed by x 2 outcomes of type 2 etc. is given byp x11 px2 2 ···pxk k .However, the number of distinguishable permutations of this result isn!x 1 !x 2 ! ···x k ! ,<strong>and</strong> thusn!f(x 1 ,x 2 ,...,x k )=x 1 !x 2 ! ···x k ! px1 1 px2 2 ···pxk k . (30.146)This is the multinomial probability distribution.If k = 2 then the multinomial distribution reduces to the familiar binomialdistribution. Although in this <strong>for</strong>m the binomial distribution appears to be afunction of two r<strong>and</strong>om variables, it must be remembered that, in fact, sincep 2 =1− p 1 <strong>and</strong> x 2 = n − x 1 , the distribution of X 1 is entirely determined by theparameters p <strong>and</strong> n. ThatX 1 has a binomial distribution is shown by rememberingthat it represents the number of objects of a particular type obtained fromsampling with replacement, which led to the original definition of the binomialdistribution. In fact, any of the r<strong>and</strong>om variables X i has a binomial distribution,i.e. the marginal distribution of each X i is binomial with parameters n <strong>and</strong> p i .Itimmediately follows thatE[X i ]=np i <strong>and</strong> V [X i ] 2 = np i (1 − p i ). (30.147)◮At a village fête patrons were invited, <strong>for</strong> a 10 p entry fee, to pick without looking sixtickets from a drum containing equal large numbers of red, blue <strong>and</strong> green tickets. If fiveor more of the tickets were of the same colour a prize of 100 p was awarded. A consolationaward of 40 p was made if two tickets of each colour were picked. Was a good time had byall?In this case, all types of outcome (red, blue <strong>and</strong> green) have the same probabilities. Theprobability of obtaining any given combination of tickets is given by the multinomialdistribution with n =6,k =3<strong>and</strong>p i = 1 , i =1, 2, 3.31208

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