Function Reference: expcdf

statistics: p = expcdf (x)
statistics: p = expcdf (x, mu)
statistics: p = expcdf (…, "upper")
statistics: [p, plo, pup] = expcdf (x, mu, pcov)
statistics: [p, plo, pup] = expcdf (x, mu, pcov, alpha)
statistics: [p, plo, pup] = expcdf (…, "upper")

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