wblcdf
Weibull cumulative distribution function (CDF).
For each element of x, compute the cumulative distribution function (CDF) at x of the Weibull distribution with scale parameter lambda and shape parameter k. The size of p is the common size of x, lambda and k. A scalar input functions as a constant matrix of the same size as the other inputs.
Default values are lambda = 0, k = 1.
When called with three output arguments, [p, plo,
pup]
it computes the confidence bounds for p when the input
parameters lambda and k are estimates. In such case, pcov,
a 2-by-2 matrix containing the covariance matrix of the estimated parameters,
is necessary. Optionally, 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.
[…] = wblcdf (…, "upper")
computes the upper tail
probability of the lognormal distribution.
See also: wblinv, wblpdf, wblrnd, wblstat, wblplot
Source Code: wblcdf