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==Etymology== According to the ''[[Oxford English Dictionary]]'', the term ''frequentist'' was first used by [[Maurice Kendall|M.G. Kendall]] in 1949, to contrast with [[Bayesian probability|Bayesians]], whom he called ''non-frequentists''.<ref> {{cite web | title = Earliest known uses of some of the words of probability & statistics | website = leidenuniv.nl | publisher = [[Leiden University]] | place = Leidin, NL | url = http://www.leidenuniv.nl/fsw/verduin/stathist/1stword.htm }} </ref><ref name=Kendall-1949> {{cite journal |last = Kendall |first = M.G. |author-link = Maurice Kendall |year = 1949 |title = On the Reconciliation of Theories of Probability |journal = [[Biometrika]] |volume=36 |issue=1-2 |pages=101β116 |jstor=2332534 |pmid=18132087 |doi=10.1093/biomet/36.1-2.101 }} </ref> [[Maurice Kendall|Kendall]] observed :3. ... we may broadly distinguish two main attitudes. One takes probability as 'a degree of rational belief', or some similar idea...the second defines probability in terms of frequencies of occurrence of events, or by relative proportions in 'populations' or 'collectives';<ref name=Kendall-1949/>{{rp|style=ama|p=β―101}} : ... :12. It might be thought that the differences between the frequentists and the non-frequentists (if I may call them such) are largely due to the differences of the domains which they purport to cover.<ref name=Kendall-1949/>{{rp|style=ama|p=β―104}} : ... :''I assert that this is not so'' ... The essential distinction between the frequentists and the non-frequentists is, I think, that the former, in an effort to avoid anything savouring of matters of opinion, seek to define probability in terms of the objective properties of a population, real or hypothetical, whereas the latter do not. [emphasis in original] "The Frequency Theory of Probability" was used a generation earlier as a chapter title in Keynes (1921).<ref name=keynesVIII/> The historical sequence: # Probability concepts were introduced and much of the mathematics of probability derived (prior to the 20th century) # classical statistical inference methods were developed # the mathematical foundations of probability were solidified and current terminology was introduced (all in the 20th century). The primary historical sources in probability and statistics did not use the current terminology of ''classical'', ''subjective'' (Bayesian), and ''frequentist'' probability.
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