pdGEV=fitdist(sample,'Generalizedextremevalue');
paraGEV= gevfit(sample);
Parameters are calculated are as follows
'shape' k = -1.03801443465120 'scale' sigma = 273.595539473463 'location' mu = 824.624147545310
but there is a warning message
Warning: Maximum likelihood estimation did not converge. Function evaluation limit exceeded.
> In gevfit (line 115)
In prob.GeneralizedExtremeValueDistribution.fit (line 170)
In fitdist>localfit (line 238)
In fitdist (line 185)
In newcode (line 271)
Warning: Maximum likelihood has converged to a boundary point of the parameter space.
Confidence intervals and standard errors cannot be computed reliably.
> In gevfit (line 127)
In prob.GeneralizedExtremeValueDistribution.fit (line 170)
In fitdist>localfit (line 238)
In fitdist (line 185)
In newcode (line 271)
Warning: Matrix is close to singular or badly scaled. Results may be inaccurate. RCOND = 7.552473e-21.
> In gevlike (line 94)
In prob.GeneralizedExtremeValueDistribution.fit (line 171)
In fitdist>localfit (line 238)
In fitdist (line 185)
In newcode (line 271)
Warning: Maximum likelihood estimation did not converge. Function evaluation limit exceeded.
> In gevfit (line 115)
In newcode (line 272)
Warning: Maximum likelihood has converged to a boundary point of the parameter space.
Confidence intervals and standard errors cannot be computed reliably.
> In gevfit (line 127)
In newcode (line 272)
