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Vestnik SamGU. Estestvenno-Nauchnaya Ser., 2015, Issue 10(132), Pages 29–39 (Mi vsgu481)  

Mathematics

Linearization of Pfaff differential equations for the conditional quantile of multivariate probability distributions

I. S. Orlova

Samara State Aerospace University, 34, Moskovskoye Shosse, Samara, 443086, Russian Federation (published under the terms of the Creative Commons Attribution 4.0 International License)
References:
Abstract: The article is devoted to the task of bringing the point transformations of nonlinear partial differential equations of Pfaff for conditional quantile multivariate probability distributions to the Pfaff differential equations with constant coefficients. Solutions of the equations of Pfaff with constant coefficients are linear functions representing the conditional quantile of multivariate Gaussian distributions.
Keywords: Pfaff's equations, quantile, differential equations, Gaussian distribution, point transformation, statistics, mathematical model regressions, probability.
Received: 22.09.2015
Bibliographic databases:
Document Type: Article
UDC: 519.213, 517.936
Language: Russian
Citation: I. S. Orlova, “Linearization of Pfaff differential equations for the conditional quantile of multivariate probability distributions”, Vestnik Samarskogo Gosudarstvennogo Universiteta. Estestvenno-Nauchnaya Seriya, 2015, no. 10(132), 29–39
Citation in format AMSBIB
\Bibitem{Orl15}
\by I.~S.~Orlova
\paper Linearization of Pfaff differential equations for the conditional quantile of multivariate probability distributions
\jour Vestnik Samarskogo Gosudarstvennogo Universiteta. Estestvenno-Nauchnaya Seriya
\yr 2015
\issue 10(132)
\pages 29--39
\mathnet{http://mi.mathnet.ru/vsgu481}
\elib{https://elibrary.ru/item.asp?id=25377152}
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    Вестник Самарского государственного университета. Естественнонаучная серия
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