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141227s1973 nyu ob 000 0 eng d |
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|a 654626413
|a 1162074121
|a 1397698441
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|a 9781483263892
|q (electronic bk.)
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|a 1483263894
|q (electronic bk.)
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|a 0122564502
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|a 9780122564505
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|z 9780122564505
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|a (OCoLC)898772130
|z (OCoLC)654626413
|z (OCoLC)1162074121
|z (OCoLC)1397698441
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|a 519.2
|2 23
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|a Fine, Terrence L.
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|a Theories of probability :
|b an examination of foundations /
|c Terrence L. Fine.
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|a New York :
|b Academic Press,
|c 1973.
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|a 1 online resource (xii, 263 pages)
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a Includes bibliographical references.
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|a Print version record.
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|a II. Appendix: Proofs of ResultsReferences; Chapter Ill. Axiomatic Quantitative Probability; IIIA. Introduction; IIIB. Overspecification in the Kolmogorov Setup: Sample Space and Event Field; IIIC. Overspecification in the Probability Axioms: View from Comparative Probability; IIID. Overspec�ificat�ion in the Probability Axioms: View from Measurement Theory; IIIE. Further Specification of the Event Field and Probability Measure; IIIF. Conditional Probability; IIIG. Independence; IIIH. The Status of Axiomatic Probability; References; Chapter IV. Relative-Frequency and Probability
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|a IVA. IntroductionIVB. Search for a Physical Interpretation of Probability Based on Finite Data; IVC. Search for a Physical Interpretation of Probability Based on Infinite Data; IVD. Bernoulli/Borel Formalization of the Relation between Probability and Relative-Frequency: Strong Laws of Large Numbers; IVE. Von Mises' Formalization of the Relation between Probability and Relative-Frequency: The Collective; IVF. Role of Relative-Frequency in the Measurement of Probability; IVG. Prediction of Outcomes from Probability Interpreted as Relative-Frequency; IVH. The Argument of the ""Long Run""
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|a IVI. Preliminary Conclusions and New DirectionsIVJ. Axiomatic Approaches to the Measurement of Probability; IVK. Measurement of Comparative Probability: Induction by Enumeration; IVL. Conclusion; References; Chapter V. Computational Complexity, Random Sequences, and Probability; VA. Introduction; VB. Definition of Random Finite Sequence Using Place-Selection Functions; VC. Definition of the Complexity of Finite Sequences; VD. Complexity and Statistics; VE. Definition of Random Finite Sequence Using Complexity; VF. Random Infinite Sequences; VG. Exchangeable and Bernoulli Finite Sequences
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|a VH. Independence and ComplexityVI. Complexity-Based Approaches to Prediction and Probability; VJ. Reflections on Complexity and Randomness: Determinism versus Chance; VK. Potential Applications for the Complexity Approach; V. Appendix: Proofs of Results; References; Chapter VI. Classical Probability and its Renaissance; VIA. Introduction; VIB. Illustrations of the Classical Argument and Assignments of Equiprobability; VIC. Axiomatic Formulations of the Classical Approach; VID. Justifying the Classical Approach and Its Axiomatic Reformulations; VIE. Conclusions; References
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|a English.
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|a Probabilities.
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|a Probability
|0 (DNLM)D011336
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|a Probabilit�es.
|0 (CaQQLa)201-0011592
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|a probability.
|2 aat
|0 (CStmoGRI)aat300055653
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|a MATHEMATICS
|x Applied.
|2 bisacsh
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|a MATHEMATICS
|x Probability & Statistics
|x General.
|2 bisacsh
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|a Probabilities.
|2 fast
|0 (OCoLC)fst01077737
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|i Print version:
|a Fine, Terrence L.
|t Theories of probability.
|d New York, Academic Press, 1973
|z 0122564502
|w (DLC) 72084364
|w (OCoLC)605034
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856 |
4 |
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|u https://sciencedirect.uam.elogim.com/science/book/9780122564505
|z Texto completo
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