article · Bulletin of the South Ural State University Series Mathematical Modelling Programming and Computer Software · 2022
Smooth Approximation of the Quantile Function Derivatives
Cited by 1Open access
Abstract
V.R. Sobol1, R.O. Torishnyy1 1Moscow Aviation Institute, Moscow, Russian Federation E-mail: vitsobol@mail.ru, arenas-26@yandex.ru Виталий Романович Соболь, кандидат физико-математических наук, доцент, кафедра теории вероятностей и компьютерного моделирования, Московский авиационный институт (национальный исследовательский университет) (г. Москва, Российская Федерация), vitsobol@mail.ru. Роман Олегович Торишный, ассистент, кафедра теории вероятностей и компьютерного моделирования, Московский авиационный институт (национальный исследовательский университет) (г. Москва, Российская Федерация), arenas-26@yandex.ru.
Cite this paper
Sobol, V., & Torishnyy, R. (2022). Smooth Approximation of the Quantile Function Derivatives. Bulletin of the South Ural State University Series Mathematical Modelling Programming and Computer Software, 15(4). https://doi.org/10.14529/mmp220411
Sobol, Vitaliy, and R.O. Torishnyy. “Smooth Approximation of the Quantile Function Derivatives.” Bulletin of the South Ural State University Series Mathematical Modelling Programming and Computer Software, vol. 15, no. 4, 2022, https://doi.org/10.14529/mmp220411.
Sobol, Vitaliy, and R.O. Torishnyy. 2022. “Smooth Approximation of the Quantile Function Derivatives.” Bulletin of the South Ural State University Series Mathematical Modelling Programming and Computer Software 15 (4). https://doi.org/10.14529/mmp220411.
Sobol, V. and Torishnyy, R. (2022) ‘Smooth Approximation of the Quantile Function Derivatives’, Bulletin of the South Ural State University Series Mathematical Modelling Programming and Computer Software, 15(4). Available at: https://doi.org/10.14529/mmp220411.
@article{sobol2022smooth,
title = {{Smooth Approximation of the Quantile Function Derivatives}},
author = {Sobol, Vitaliy and Torishnyy, R.O.},
journal = {Bulletin of the South Ural State University Series Mathematical Modelling Programming and Computer Software},
volume = {15},
number = {4},
year = {2022},
doi = {10.14529/mmp220411}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.