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The paper derives a class of non-informative, probability matching priors and of default, data-dependent priors for the difference in two normal means when the variance(s) are unknown. These distributions are useful to get a Bayesian model in the situation where one has to assess compatibility of data obtained by a laboratory with the specified values and uncertainty estimate given in the certificate...
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