I'm wondering if there's a straight forward way to generate a poisson distribution for a distribution for a fixed number of events. For example, I have a vector of means for a poisson distribution; something like this: B=[3, 5, 7, 9, 10] Each element in B is the mean number of events I can expect to observe in that bin when I model the data in each bin as a poisson distribution. If I want to simulate observations of this distribution I can use the command poissrnd: poissrnd(B) Which generates a random vector. I now want to generate observations but I'd like to have control over the total number of events that are observed. Is there a straight forward way to do that?
NOTE:-
a = poissrnd(b,n,m)
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