Pascal Distribution. The Pascal distribution is simply a negative binomial distribution with an integer value of n.
y = pascal(p,n,k,c)
output
probability of success
number of successes in independent trials. It will be a positive integer number.
k is number of failures occuring before n successes in independent trials. It will be a positive integer.
It will generate random integer from the pascal distribution, the number of failures occurring before n successes in independent trials with probability p of success. In this case the function is independent of k and hence any value of k can be set.
It will allow the user to compute the probability p(k) of obtaining k from a pascal distribution with parameters p and n.
It will allow the user to compute pascal cdf P(k)
It will allow the user to compute pascal cdf Q(k)
This function is used to calculate pascal random variate, probability p(k) of obtaining k from a pascal distribution and cumulative distribution functions P(k), Q(k).
// probability p(k) of obtaining k=5 from negative binomial distribution with p=0.5 and n=3 p=0.5 n=3 k=5 c=2 y = pascal(p,n,k,c) disp(y) | ![]() | ![]() |