Fiducial Distributions and Prior Distributions: An Example in Which the Former Cannot be Associated with the Latter

Summary A class of one-parameter distributions is specified, for which the sample total is a sufficient statistic in samples of arbitrary size. It is proved that the resulting fiducial distribution of the parameter does not coincide with the distribution, a posteriori, given by Bayes' theorem, for any prior distribution whatever.