- 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