E3S Web Conf.
Volume 149, 2020Regional Problems of Earth Remote Sensing (RPERS 2019)
|Number of page(s)||6|
|Section||Models and Methods of Remote Sensing Data Processing|
|Published online||05 February 2020|
The Reliability of Numerical Modeling in Remote Sensing Data Analysis
Institute of Space and Information Technology, Siberian Federal University, Kirenskogo 26, Krasnoyarsk, 660074 Russia
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.
© The Authors, published by EDP Sciences 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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