Fiducial inference: Difference between revisions
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{{expert neededdate=July 2016}}
'''Fiducial inference''' is one of a number of different types of [[statistical inference]]. These e are rules, intended for general application, by which conclusions can be drawn from [[Sample (statistics)samples]] of data. In modern statistical practice, attempts to work with fiducial inference have fallen out of fashion in favour of [[frequentist inference]], [[Bayesian inference]] and [[decision theory]]. However, fiducial inference is important in the [[history of statistics]] since its development led to the parallel development of concepts and tools in [[theoretical statistics]] that are widely used. Some current research in statistical methodology is either explicitly linked to fiducial inference or is closely connected to it.
==Background==
