Summary
The thesis is argued that a statistician qua statistician should either confine his inferences to statistical inferences in the sense indicated in this paper, or at least make it clear when his inferences are not so classifiable.
The arguments for and against prior probabilities, likelihood ratios, and alternative methods of estimation are discussed and illustrated in this context.
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© 1975 M. S. Barlett
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Bartlett, M.S. (1975). When is inference statistical inference?. In: Probability, Statistics and Time. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-5889-0_6
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DOI: https://doi.org/10.1007/978-94-009-5889-0_6
Publisher Name: Springer, Dordrecht
Print ISBN: 978-0-412-22260-3
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