The MaxLikeFull class

class pylife.materialdata.woehler.MaxLikeFull(fatigue_data)

Maximum likelihood procedure estimating all parameters.

Maximum likelihood is a method of estimating the parameters of a distribution model by maximizing a likelihood function, so that under the assumed statistical model the observed data is most probable. This procedure consists of estimating the curve parameters, where some of these parameters may be fixed by the user. The remaining parameters are then fitted to produce the best possible outcome.

https://en.wikipedia.org/wiki/Maximum_likelihood_estimation

Parameters:

fixed_parameters (dict) – Dictionary of fixed parameters