New Methods of Entropy-Robust Estimation for Randomized Models under Limited Data

New Methods of Entropy-Robust Estimation for Randomized Models under Limited Data

The paper presents a new approach to restoration characteristics randomized models under small amounts of input and output data. This approach proceeds from involving randomized static and dynamic models and estimating the probabilistic characteristics of their parameters. We consider static and dyn...

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Bibliographic Details
Main Authors: Yuri Popkov, Alexey Popkov
Format: Article
Language:English
Published: MDPI AG 2014-01-01
Series:Entropy
Subjects:
randomized data models
robustness
entropy function and entropy functional
entropy functional variation
likelihood function and likelihood functional
Volterra polynomials
multiplicative algorithms
symbolic computing
Online Access:http://www.mdpi.com/1099-4300/16/2/675

Internet

http://www.mdpi.com/1099-4300/16/2/675

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