Discrete uniform probability density function
Y = unidpdf(X,N)
Y = unidpdf(X,N) computes the discrete uniform pdf at each of the values in X using the corresponding maximum observable value in N. X and N can be vectors, matrices, or multidimensional arrays that have the same size. A scalar input is expanded to a constant array with the same dimensions as the other inputs. The parameters in N must be positive integers.
The discrete uniform pdf is
You can think of y as the probability of observing any one number between 1 and n.
For fixed n, the uniform discrete pdf is a constant.
y = unidpdf(1:6,10) y = 0.1000 0.1000 0.1000 0.1000 0.1000 0.1000
Now fix x, and vary n.
likelihood = unidpdf(5,4:9) likelihood = 0 0.2000 0.1667 0.1429 0.1250 0.1111