
Summary It is argued that statistical problems can usefully be divided into two classes: one-person problems for which Bayesian techniques are appropriate, and many-person problems, for which Bayesian techniques are not appropriate. Two conditions are presented which it is felt that statistical procedures for many-person problems should satisfy. Some of the consequences of these conditions are then investigated and discussed.
Parametric tolerance and confidence regions, Foundations and philosophical topics in statistics, Parametric hypothesis testing
Parametric tolerance and confidence regions, Foundations and philosophical topics in statistics, Parametric hypothesis testing
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