Weibull mean and variance

`[M,V] = wblstat(A,B)`

`[M,V] = wblstat(A,B)`

returns
the mean of and variance for the Weibull distribution with scale parameter, `A`

and
shape parameter, `B`

. Vector or matrix inputs for `A`

and `B`

must
have the same size, which is also the size of `M`

and `V`

.
A scalar input for `A`

or `B`

is
expanded to a constant matrix with the same dimensions as the other
input.

The mean of the Weibull distribution with parameters *a* and *b* is

$$a\left[\Gamma \left(1+{b}^{-1}\right)\right]$$

and the variance is

$${a}^{2}\left[\Gamma \left(1+2{b}^{-1}\right)-\Gamma {\left(1+{b}^{-1}\right)}^{2}\right]$$

[m,v] = wblstat(1:4,1:4) m = 1.0000 1.7725 2.6789 3.6256 v = 1.0000 0.8584 0.9480 1.0346 wblstat(0.5,0.7) ans = 0.6329

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