Hello,

I compute return period using gpfit (Generalized Pareto parameter estimates) to calculate the return period, while I calculate the maximum likehood, I got an error message below.

Warning: Maximum likelihood has converged to an estimate of K < -1/2.
Confidence intervals and standard errors can not be computed reliably.> In gpfit (line 124)
I guess this happens with small values in the inputs, but I have no idea how to sort it out. Could you please help????

ThanksHello,

I compute return period using gpfit (Generalized Pareto parameter estimates) to calculate the return period, while I calculate the maximum likehood, I got an error message below.

Warning: Maximum likelihood has converged to an estimate of K < -1/2.
Confidence intervals and standard errors can not be computed reliably.> In gpfit (line 124)
I guess this happens with small values in the inputs, but I have no idea how to sort it out. Could you please help????

Thanks Hello,

I compute return period using gpfit (Generalized Pareto parameter estimates) to calculate the return period, while I calculate the maximum likehood, I got an error message below.

Warning: Maximum likelihood has converged to an estimate of K < -1/2.
Confidence intervals and standard errors can not be computed reliably.> In gpfit (line 124)
I guess this happens with small values in the inputs, but I have no idea how to sort it out. Could you please help????

Thanks pareto, statistics, (gp) distribution, extreme, gpfit, likelihood, gpd, error MATLAB Answers — New Questions

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