Relevant bibliographies by topics / Probability axiomatic de nition

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Probability axiomatic de nition'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Probability axiomatic de nition"

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Kolchugin, Sergey. "Active-Passive Accounts in the Methodology of Accounting." Auditor 5, no. 12 (2020): 41–49. http://dx.doi.org/10.12737/1998-0701-2019-41-49.

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Th e article considers the problem of active-passive accounts in theory and methodology of Russian accounting. On the example of the materialistic theory of two classes of accounts, in which there are no active-passive accounts, proves the possibility of constructing a consistent accounting theory. Th e theoretical inconsistency of introducing active-passive accounting accounts into modern theory and practice is proved. In conclusion, a new defi nition of active and passive accounts is given from the standpoint of the formal-axiomatic accounting theory.
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Tenekedjiev, Kiril, Anastas Krushev, and Natalia Nikolova. "Modified Axiomatic Basis of Subjective Probability." Journal of Advanced Computational Intelligence and Intelligent Informatics 9, no. 1 (2005): 61–64. http://dx.doi.org/10.20965/jaciii.2005.p0061.

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The paper aims at making a contribution to the axiomatic approach to subjective uncertainty by introducing a modified set of six axioms to subjective probabilities. Those are considered sufficient to guarantee adequacy and rationality in the expression of beliefs in future uncertain events by the observer of the system. The axioms combine mathematical correctness and unambiguous justification. They draw on existing axiomatic bases, but include some additional features and dependencies. A modified theorem for existence and uniqueness of subjective probabilities that uses the axioms discussed is
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Platen, Eckhard. "Axiomatic principles for a market model." Journal of Applied Probability 36, no. 1 (1999): 295–300. http://dx.doi.org/10.1239/jap/1032374252.

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Martini, Marco. "A general function of axiomatic index numbers." Journal of the Italian Statistical Society 1, no. 3 (1992): 359–76. http://dx.doi.org/10.1007/bf02589086.

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van der Lubbe, J. C. A. "An axiomatic theory of heterogeneity and homogeneity." Metrika 33, no. 1 (1986): 223–45. http://dx.doi.org/10.1007/bf01894751.

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Brezmes, T., and G. Naval. "Axiomatic information measures depending only on a probability measure." Statistics & Probability Letters 28, no. 4 (1996): 329–35. http://dx.doi.org/10.1016/0167-7152(95)00142-5.

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Araújo, Rúbia, Sascha Wald, and Malte Henkel. "Axiomatic construction of quantum Langevin equations." Journal of Statistical Mechanics: Theory and Experiment 2019, no. 5 (2019): 053101. http://dx.doi.org/10.1088/1742-5468/ab11dc.

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Cerreia-Vioglio, Simone, Fabio Maccheroni, Massimo Marinacci, and Aldo Rustichini. "Axiomatic tests for the Boltzmann distribution." Journal of Statistical Mechanics: Theory and Experiment 2021, no. 1 (2021): 013406. http://dx.doi.org/10.1088/1742-5468/abd4ce.

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9

Solomashkin, A. A. "Definition of probability of refusal and average actual resource of details of cars at substandard value of an intercontrol operating time." Sel'skohozjajstvennaja tehnika: obsluzhivanie i remont (Agricultural Machinery: Service and Repair), no. 2 (February 1, 2021): 52–57. http://dx.doi.org/10.33920/sel-10-2102-06.

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The offered technique of defi nition of probability of refusal of a detail of the car and its average actual resource, allows to define values of these parameters not only at the standard intercontrol operating time established in the specifications and technical documentation, but also taking into account a casual deviation of their specification caused by real service conditions of the car.
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Girotto, B., та S. Holzer. "On the axiomatic treatment of the ϕ-mean". Journal of the Italian Statistical Society 4, № 3 (1995): 299–336. http://dx.doi.org/10.1007/bf02589117.

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Dissertations / Theses on the topic "Probability axiomatic de nition"

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Souza, Dorgival Fidellis de. "Modelos binomiais: caracterização e aplicações." Universidade Federal de Goiás, 2014. http://repositorio.bc.ufg.br/tede/handle/tede/3863.

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Submitted by Luciana Ferreira (lucgeral@gmail.com) on 2015-01-13T11:09:12Z No. of bitstreams: 2 license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) Dissertação - Dorgival Fidellis de Souza - 2014.pdf: 2095231 bytes, checksum: 65e25085d6c9748ee4eeb885c21aaabc (MD5)<br>Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2015-01-13T11:09:26Z (GMT) No. of bitstreams: 2 license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) Dissertação - Dorgival Fidellis de Souza - 2014.pdf: 2095231 bytes, checksum: 65e25085d6c9748ee4eeb885c21
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Books on the topic "Probability axiomatic de nition"

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Deductive, probabilistic, and inductive dependence: An axiomatic study in probability semantics. P. Lang, 1997.

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2

Dorn, Georg J. Deductive, Probabilistic and Inductive Dependence: An Axiomatic Study in Probability Semantics. Lang Publishing, Incorporated, Peter, 1997.

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Landon, Onyebueke, and United States. National Aeronautics and Space Administration., eds. Final report on the study of the relationship between probabilistic design and axiomatic design methodology: NASA grant no. NAG3-1479. Tennessee State University, Dept. of Mechanical Engineering, 1996.

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Landon, Onyebueke, and United States. National Aeronautics and Space Administration., eds. Final report on the study of the relationship between probabilistic design and axiomatic design methodology: NASA grant no. NAG3-1479. Tennessee State University, Dept. of Mechanical Engineering, 1996.

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Landon, Onyebueke, and United States. National Aeronautics and Space Administration., eds. Final report on the study of the relationship between probabilistic design and axiomatic design methodology: NASA grant no. NAG3-1479. Tennessee State University, Dept. of Mechanical Engineering, 1996.

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6

Dietrich, Franz, and Christian List. Probabilistic Opinion Pooling. Edited by Alan Hájek and Christopher Hitchcock. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199607617.013.37.

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Suppose several individuals (e.g., experts on a panel) each assign probabilities to some events. How can these individual probability assignments be aggregated into a single collective probability assignment? This chapter is a review of several proposed solutions to this problem, focusing on three salient proposals: linear pooling (the weighted or unweighted linear averaging of probabilities), geometric pooling (the weighted or unweighted geometric averaging of probabilities), and multiplicative pooling (where probabilities are multiplied rather than averaged). Axiomatic characterizations of e
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Crupi, Vincenzo, and Katya Tentori. Confirmation Theory. Edited by Alan Hájek and Christopher Hitchcock. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199607617.013.33.

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We first discuss several qualitative properties of confirmation as analyzed in a probabilistic framework. Some of these properties are classical, while others are relatively novel; some are shared by absolute and incremental confirmation, others are distinctive for each kind. We then proceed to address axiomatic characterizations of major classes of probabilistic measures of incremental confirmation. This treatment includes an original result displaying how conditions which single out the traditional probability difference measure up to ordinal equivalence. Finally, we argue that the longstand
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Book chapters on the topic "Probability axiomatic de nition"

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Paranjape, Kapil. "Axiomatic and Coordinate Geometry." In Analysis, Geometry and Probability. Hindustan Book Agency, 1996. http://dx.doi.org/10.1007/978-93-80250-87-8_8.

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Frieden, B. Roy. "The Axiomatic Approach." In Probability, Statistical Optics, and Data Testing. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56699-8_2.

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Frieden, B. Roy. "The Axiomatic Approach." In Probability, Statistical Optics, and Data Testing. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-97289-8_2.

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Kramosil, Ivan. "Preliminaries on Axiomatic Probability Theory." In Probabilistic Analysis of Belief Functions. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-0587-7_2.

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Diniz, Marcio A., and Sandro Gallo. "The Beginnings of Axiomatic Subjective Probability." In Springer Proceedings in Mathematics & Statistics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91143-4_14.

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Kramosil, Ivan. "An axiomatic approach to extensional probability measures." In Symbolic and Quantitative Approaches to Reasoning and Uncertainty. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-60112-0_31.

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"Axiomatic Approach." In An Introduction to the Theory of Probability. WORLD SCIENTIFIC, 2011. http://dx.doi.org/10.1142/9789814313438_0003.

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"Probability: the axiomatic approach." In Probability Theory and Mathematical Statistics for Engineers. CRC Press, 2004. http://dx.doi.org/10.1201/9781482267761-8.

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"An Axiomatic Approach to Conditional Probability." In Conditional Measures and Applications. Chapman & Hall, 2005. http://dx.doi.org/10.1201/9781420027433.ch4.

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Karni, Edi. "Axiomatic Foundations of Expected Utility and Subjective Probability." In Handbook of the Economics of Risk and Uncertainty. Elsevier, 2014. http://dx.doi.org/10.1016/b978-0-444-53685-3.00001-5.

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Conference papers on the topic "Probability axiomatic de nition"

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Zhu, Kunping. "On the Teaching of Axiomatic Probability for Students of Science and Engineering." In Proceedings of the 2019 3rd International Conference on Education, Economics and Management Research (ICEEMR 2019). Atlantis Press, 2019. http://dx.doi.org/10.2991/assehr.k.191221.073.

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Hwang, K. H., and G. J. Park. "Development of a Robust Design Process Using a New Robustness Index." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-84555.

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In product design and manufacturing, robust design leads to a product that has good quality. Robust design is reviewed in two categories: one is the process and the other is the robustness index. The process means efficient manipulation of the mean response and the variance. The robustness index indicates a measure of insensitiveness with respect to the variation. To improve existing methods, a three-step robust design (TRD) is proposed. The first step is “reduce the variance,” the second is “find multiple candidate designs,” and the third is “select the optimum robust design by using the robu
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