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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
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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.
pdf, wblcdf, wblfit, wblinv, wbllike, wblplot, wblrnd, wblstat
![]() | wbllike | wblplot | ![]() |

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