Weibull probability density function


Y = wblpdf(X,A,B)


Y = wblpdf(X,A,B) computes the Weibull pdf at each of the values in X using the corresponding scale parameter, A and shape parameter, B. X, A, and B can be vectors, matrices, or multidimensional arrays that all have the same size. A scalar input is expanded to a constant array of the same size as the other inputs. The parameters in A and B must be positive.

The Weibull pdf is


Some references refer to the Weibull distribution with a single parameter. This corresponds to wblpdf with A = 1.


The exponential distribution is a special case of the Weibull distribution.

lambda = 1:6;
y = wblpdf(0.1:0.1:0.6,lambda,1)
y =
  0.9048  0.4524  0.3016  0.2262  0.1810  0.1508

y1 = exppdf(0.1:0.1:0.6,lambda)
y1 =
  0.9048  0.4524  0.3016  0.2262  0.1810  0.1508


[1] Devroye, L. Non-Uniform Random Variate Generation. New York: Springer-Verlag, 1986.

Extended Capabilities

C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.

Introduced before R2006a