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dc.contributor.authorJohn Maynard Keynes
dc.date.accessioned2016-02-19T16:39:19Z
dc.date.available2016-02-19T16:39:19Z
dc.date.issued1921
dc.identifier.isbn0404145639,9780404145637
dc.identifier.issn
dc.identifier.urihttp://ir.nmu.org.ua/handle/GenofondUA/7760
dc.description.abstractIn this path breaking contribution to the logic of probability, Keynes showed how to adapt the work of George Boole for the purpose of estimating probabilities.Keynes is the first scholar in history to explicitly emphasize the importance of interval estimates in decision making.For Keynes there are only two types of probability estimates,point estimates and interval estimates.Unfortunately,Keynes decided to call interval estimates "non-numerical"probabilities.His reasoning is really quite obvious.A precise estimate of probability used a single numeral for the point estimate.Therefore,an imprecise estimate of probability used two numerals to denote an interval(set).Thus, an interval estimate is not based on a single numeral but two. These types of probabilities are thus "non-numerical"because you are not using a single numeral.
dc.language.isoEnglish
dc.publisherMacmillan and Co
dc.subject
dc.subject
dc.subject.ddc519.2
dc.subject.lccBC141 .K4 1979
dc.titleTreatise on Probability
dc.typeother
dc.identifier.aichHQNHTDDFYEZ34AXFNIK7YP5P3TQEP2T7
dc.identifier.crc327F1DBC3F
dc.identifier.doi
dc.identifier.edonkeyF448526930319DCD992DB084EBE62998
dc.identifier.googlebookid
dc.identifier.openlibraryidOL5212335M
dc.identifier.udk
dc.identifier.bbk
dc.identifier.libgenid740092
dc.identifier.md545F1257DB6CD99F9F1923849809EC15E
dc.identifier.sha1HKAXLSTLGCQ23PIXW5MRWYJVO6Y37ZHI
dc.identifier.tthBFF3CP323POL6644FXYS5YHSNRTSYDXPH7LNLFQ


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