The Reliability of Numerical Modeling in Remote Sensing Data Analysis
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URI (for links/citations):
http://research.sfu-kras.ru/publications/author/66726216https://elib.sfu-kras.ru/handle/2311/143360
Author:
Добронец, Б. С.
Попова, О. А.
Corporate Contributor:
Институт космических и информационных технологий
Кафедра систем искусственного интеллекта
Date:
2020-02Journal Name:
E3S Web of ConferencesJournal Quartile in Scopus:
без квартиляJournal Quartile in Web of Science:
без квартиляBibliographic Citation:
Добронец, Б. С. The Reliability of Numerical Modeling in Remote Sensing Data Analysis [Текст] / Б. С. Добронец, О. А. Попова // E3S Web of Conferences. — 2020. — Т. 149.Abstract:
The article deals with the problem of calculating reliable estimates
of empirical distribution functions under conditions of small sample and data
uncertainty. To study these issues, we develope computational probabilistic
analysis as a new area in computational statistics. We propose a new approach
based on random interpolation polynomials and order statistics. Arithmetic operations
on probability density functions and procedures for constructing the
probabilistic extensions are used.