For each element of x, compute the cumulative distribution function (CDF) of a discrete uniform distribution with parameter N, which corresponds to the maximum observable value. unidcdf assumes the integer values in the range $[1,N]$ with equal probability. The size of p is the common size of x and N. A scalar input functions as a constant matrix of the same size as the other inputs.

The maximum observable values in N must be positive integers, otherwise NaN is returned.

[…] = unidcdf (x, N, "upper") computes the upper tail probability of the discrete uniform distribution with maximum observable value N, at the values in x.

Warning: The underlying implementation uses the double class and will only be accurate for N < flintmax ($2^\{53\}$ on IEEE 754 compatible systems).

Further information about the discrete uniform distribution can be found at https://en.wikipedia.org/wiki/Discrete_uniform_distribution

See also: unidinv, unidpdf, unidrnd, unidfit, unidstat

Source Code: unidcdf