expcdf
Exponential cumulative distribution function (CDF).
For each element of x, compute the cumulative distribution function (CDF) at x of the exponential distribution with mean mu. The size of p is the common size of x, mu and sigma. A scalar input functions as a constant matrix of the same size as the other inputs.
Default value for mu = 1.
The arguments can be of common size or scalars.
When called with three output arguments, [p, plo,
pup]
it computes the confidence bounds for p when the input
parameter mu is an estimate. In such case, pcov is the variance
of the estimated mu. alpha has a default value of 0.05, and
specifies 100 * (1 - alpha)% confidence bounds. plo and pup
are arrays of the same size as p containing the lower and upper
confidence bounds.
[…] = expcdf (…, "upper")
computes the upper tail
probability of the exponential distribution.
See also: expinv, exppdf, exprnd, expfit, explike, expstat
Source Code: expcdf