- statistics: [paramhat, paramci] = gevfit_lmom (data)
Find an estimator (paramhat) of the generalized extreme value (GEV)
distribution fitting data using the method of L-moments.
Arguments
-
data is the vector of given values.
Return values
-
parmhat is the 3-parameter maximum-likelihood parameter vector
[k; sigma; mu], where k is the shape parameter of the
GEV distribution, sigma is the scale parameter of the GEV distribution,
and mu is the location parameter of the GEV distribution.
-
paramci has the approximate 95% confidence intervals of the parameter
values (currently not implemented).
Examples
| data = gevrnd (0.1, 1, 0, 100, 1);
[pfit, pci] = gevfit_lmom (data);
p1 = gevcdf (data,pfit(1),pfit(2),pfit(3));
[f, x] = ecdf (data);
plot(data, p1, 's', x, f)
|
See also:
gevfit
Source Code:
gevfit_lmom