The Use of Time Series to Improve the Prediction Reliability of the Statistical Characteristics of a Controlled Parameter
- 作者: Sysoev Y.1, Tsuverkalova O.1
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隶属关系:
- Volgodonsk Engineering and Technical Institute, Branch of the National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
- 期: 卷 61, 编号 10 (2019)
- 页面: 973-978
- 栏目: General Problems of Metrology and Measurement Technique
- URL: https://journals.rcsi.science/0543-1972/article/view/246615
- DOI: https://doi.org/10.1007/s11018-019-01535-y
- ID: 246615
如何引用文章
详细
Based on the analysis of time series compiled from the values of a controlled parameter, we propose options for constructing vectors (vector-neighbors), close to the starting vector. It is shown that the use of the coordinates of the constructed vector-neighbors in conjunction with the coordinates of the starting vector allows one to increase the sample sizes for determining the statistical characteristics during prediction of parameter drift and to increase the reliability of the estimates of these characteristics.
作者简介
Yu. Sysoev
Volgodonsk Engineering and Technical Institute, Branch of the National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
编辑信件的主要联系方式.
Email: sysoev2004@mail.ru
俄罗斯联邦, Volgodonsk
O. Tsuverkalova
Volgodonsk Engineering and Technical Institute, Branch of the National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Email: sysoev2004@mail.ru
俄罗斯联邦, Volgodonsk