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Mathematics and Probability [PDF]
Nature, 1967 Green's Function Methods in Probability Theory By Julian Keilson. (Griffin's Statistical Monographs and Courses, No. 17.) Pp. viii + 220. (London: Charles Griffin and Co., Ltd., 1965.) 40s. net.
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Mathematical Probability in the Natural Sciences [PDF]
Technometrics, 1959 Presidential address given at Symposium III of the XVIIIe Congress International des Sciences Pharmaceutiques, organized jointly by the Scientific Section of the International Pharmaceutical Federation and the Section Adolphe Quetelet—Brussels, 8–15 September, 1958. This address will also appear in Metrika, 1959.
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Introduction to Mathematical Probability. [PDF]
The American Mathematical Monthly, 1938 J. A. Greenwood, J. V. Uspensky
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Extended Probabilities: Mathematical Foundations
, 2009 There are important problems in physics related to the concept of probability. One of these problems is related to negative probabilities used in physics from 1930s. In spite of many demonstrations of usefulness of negative probabilities, physicists looked at them with suspicion trying to avoid this new concept in their theories. The main question that
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Probability in Logic, Mathematics and Science
Dialectica, 1949 Historically the emergence of a precise technical meaning for probability, as distinct from its vague popular useage, has taken time; and confusion still arises from the concept of probability having different meanings in different flelds of discourse.
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Mathematical Foundations of Probability Theory
, 2018 In the footsteps of the book \textit{Measure Theory and Integration By and For the Learner} of our series in Probability Theory and Statistics, we intended to devote a special volume of the very probabilistic aspects of the first cited theory. The book might have assigned the title : From Measure Theory and Integration to Probability Theory.
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Numerous inequalities and related communications accompanying discrete divergence models in probability spaces. [PDF]
PLoS OneSingh V +3 more
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Quantum-augmented graph differential geometry enhances accuracy in protein-protein interaction prediction. [PDF]
Sci RepKarthick V +4 more
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Refining estimation techniques for the Two-Sided Power Distribution: A data-sensitive perspective. [PDF]
PLoS OneGüral Y.
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