I'm doing a nonlinear estimation via the maximum likelihood method. I want to do a batch processing of data but in some cases the estimation don't satisfise tolerance  (1,81899e-012), don't met the convergence criterion. Does anyone knows how it is calculated whether or not the model meets tolerance?

An estimation that don't met tolerance;

An estimation that met tolerance;

Suggestion: I think it's calculated by adding up logslikelihood or gradients. But I do both and don't coincided with tolerance.

Another question, How can I save automatically results?

Beforehand, thank you for any help.

Mario Alberto Flórez Porras

Student of Industrial Engineering