Profiler

The Profiler is designed to compute profile-likelihood based confidence intervals based on the likelihood-ratio test.

Class

Profiler(distribution, data[, ...])

Methods

test_profile_likelihood(range_for_param, param)	Compute the profile likelihood for a given parameter over a specified range.
confidence_interval(param[, precision])	Compute the confidence interval for a given parameter.

Attributes

profiles	Compute the profile likelihood for the parameters defined in __init__.
optimum	Compute the optimum parameters for the distribution using the score function.
standard_mle	Compute the standard maximum likelihood estimate (MLE) for the distribution.