Source: wikibot/fiducial-inference
= Fiducial inference
{wiki=Fiducial_inference}
Fiducial inference is a statistical framework developed by the mathematician Ronald A. Fisher in the early 20th century. It is intended for making inferences about parameters of a statistical model based on observed data without relying on the subjective probabilities associated with prior distributions, which are common in Bayesian statistics.