E. P. Warren Praelector

Die E. P. Warren Praelectorship ist eine Stiftungsdozentur auf dem Gebiet der Gräzistik am Corpus Christi College, Oxford. Sie geht auf das Vermächtnis des US-Amerikaners Edward Perry Warren (1860–1928), eines Sammlers antiker Kunst, zurück. Aufgrund juristischer Probleme konnte die Stelle jedoch erst 1954 besetzt werden. Ursprünglich waren durch das Vermächtnis strenge Bedingungen an sie geknüpft. Der E. P. Warren Praelector musste seinen Studenten jederzeit zur Verfügung stehen und zu diesem Zweck im College wohnen, und er durfte Frauen nicht unterrichten. Diese Bedingungen wurden jedoch, abgesehen von der Unterrichtsverpflichtung, Ende der 1980er Jahre vollständig aufgehoben.

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Railway line in Gunma prefecture, Japan This article needs additional citations for verification. Please help improve this article by adding citations to reliable sources. Unsourced material may be challenged and removed.Find sources: Agatsuma Line – news · newspapers · books · scholar · JSTOR (October 2014) (Learn how and when to remove this message) Agatsuma LineA 211 series EMU, 2020OverviewNative name吾妻線OwnerJR EastLocaleGunma PrefectureTermi...

 

US Supreme Court justice from 1863 to 1897 Justice Field redirects here. For other uses, see Justice Field (disambiguation). Stephen Johnson FieldAssociate Justice of the Supreme Court of the United StatesIn officeMay 20, 1863 – December 1, 1897Nominated byAbraham LincolnPreceded bySeat establishedSucceeded byJoseph McKenna5th Chief Justice of the Supreme Court of CaliforniaIn officeSeptember 12, 1859 – May 20, 1863Nominated byJohn B. WellerPreceded byDavid S. TerryS...

 

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Probability plot which compares two cumulative distribution functions Not to be confused with Q–Q plot. In statistics, a P–P plot (probability–probability plot or percent–percent plot or P value plot) is a probability plot for assessing how closely two data sets agree, or for assessing how closely a dataset fits a particular model. It works by plotting the two cumulative distribution functions against each other; if they are similar, the data will appear to be nearly a straight line. ...

 

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