Function Reference: wblcdf

statistics: p = wblcdf (x)
statistics: p = wblcdf (x, lambda)
statistics: p = wblcdf (x, lambda, k)
statistics: p = wblcdf (…, "upper")
statistics: [p, plo, pup] = wblcdf (x, lambda, k, pcov)
statistics: [p, plo, pup] = wblcdf (x, lambda, k, pcov, alpha)
statistics: [p, plo, pup] = wblcdf (…, "upper")

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