Maximum compatibility method for data fitting under interval uncertainty
- 作者: Shary S.1,2
-
隶属关系:
- Institute of Computational Technologies, Siberian Branch
- Novosibirsk State University
- 期: 卷 56, 编号 6 (2017)
- 页面: 897-913
- 栏目: Control in Stochastic Systems and Under Uncertainty Conditions
- URL: https://journals.rcsi.science/1064-2307/article/view/219999
- DOI: https://doi.org/10.1134/S1064230717050100
- ID: 219999
如何引用文章
详细
For the linear regression model, the data-fitting problem under the interval uncertainty of the data is studied. As an estimate of the linear function parameters, it is proposed to take their values that deliver the maximum for the so-called recognizing functional of the parameter set compatible with the data (the maximum compatibility method). The properties of the recognizing functional, its interpretation, and the properties of the estimates obtained using the maximum compatibility method are investigated. The relationships to other data analysis methods are discussed, and a practical electrochemistry problem is solved.
作者简介
S. Shary
Institute of Computational Technologies, Siberian Branch; Novosibirsk State University
编辑信件的主要联系方式.
Email: shary@ict.nsc.ru
俄罗斯联邦, Novosibirsk; Novosibirsk
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