The reliability of numerical modeling in remote sensing data analysis

Описание

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: Regional Problems of Earth Remote Sensing, RPERS 2019

Год издания: 2020

Идентификатор DOI: 10.1051/e3sconf/202014902012

Аннотация: 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 poПоказать полностьюlynomials and order statistics. Arithmetic operations on probability density functions and procedures for constructing the probabilistic extensions are used. © The Authors, published by EDP Sciences 2020.

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Издание

Журнал: E3S Web of Conferences

Выпуск журнала: Vol. 149

ISSN журнала: 25550403

Издатель: EDP Sciences 02012

Персоны

  • Dobronets B. (Institute of Space and Information Technology, Siberian Federal University, Kirenskogo 26, Krasnoyarsk, 660074, Russian Federation)
  • Popova O. (Institute of Space and Information Technology, Siberian Federal University, Kirenskogo 26, Krasnoyarsk, 660074, Russian Federation)

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