Abstract
An important application of probability theory is the use of statistics in science, in particular classical statistics as devised by Fisher and Neyman and Pearson. Good introductions to this type of statistics are provided in (Barnett, 1999) and in (Mood et al., 1974). We should emphasize that classical statistics is not an uncontroversial tool for reasoning statistically, and that it is sometimes in direct disagreement with the other major theory of statistical inference treated in this book, Bayesian statistics. A good and accessible overview of the problems that beset the classical statistical account of statistics is given by (Howson and Urbach, 1993).
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Haenni, R., Romeijn, JW., Wheeler, G., Williamson, J. (2011). Statistical Inference. In: Probabilistic Logics and Probabilistic Networks. Synthese Library, vol 350. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-0008-6_5
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DOI: https://doi.org/10.1007/978-94-007-0008-6_5
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