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R = wblrnd(A,B)
R = wblrnd(A,B,v)
R = wblrnd(A,B,m,n)
R = wblrnd(A,B) generates random numbers for the Weibull distribution with scale parameter, A and shape parameter, B. The input arguments A and B can be either scalars or matrices. 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 input.
R = wblrnd(A,B,v) generates random numbers for the Weibull distribution with parameters A and B, where v is a row vector. If v is a 1-by-2 vector, R is a matrix with v(1) rows and v(2) columns. If v is 1-by-n, R is an n-dimensional array.
R = wblrnd(A,B,m,n) generates random numbers for the Weibull distribution with parameters A and B, where scalars m and n are the row and column dimensions of R.
Devroye [1] refers to the Weibull distribution with a single parameter; this is wblrnd with A = 1.
n1 = wblrnd(0.5:0.5:2,0.5:0.5:2) n1 = 0.0178 0.0860 2.5216 0.9124 n2 = wblrnd(1/2,1/2,[1 6]) n2 = 0.0046 1.7214 2.2108 0.0367 0.0531 0.0917
[1] Devroye, L. Non-Uniform Random Variate Generation. New York: Springer-Verlag, 1986.
random, wblpdf, wblcdf, wblinv, wblstat, wblfit, wbllike
![]() | wblplot | wblstat | ![]() |

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