Hi,

I am trying to maximize a -log likelihood function of a Birnbaum-Saunders distribution with two parameters using BFGS and Monte Carlo. I have the samples generates using gsl_ran_gaussian_ziggurat and later transforming for the Birnbaum-Saunders distribution. The problem is that for some values of the sample the algorithm converges and for other values it results in NaN. Thanks in advanced.

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