Hi,

I use R to test a model although I'm not good in using it. To test the model
I have to generate random number of arrival rate (lambda) that follows a
Gamma distribution. Suppose that in each run I have 5 generated
number,>data<-array(1:K*5,c(K,5)); for(i in 1:K) data[i,]=rgamma(5,
a,b), that are used in the model.

I do not know that how many time, K=?, should I run to achieve at most 95 or
99 percent of interval confidence covering. could you please guide me?

best regards,
hadi

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