二维随机变量系统统计建模的方法方面

P. Kosobutskyy
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引用次数: 0

摘要

根据文献资料的分析,测量结果的统计处理一直没有得到应有的重视。不幸的是,适当的算法往往局限于简化的统计程序,没有对目标函数的适当证明,包括检查随机数据处理的质量。因此,作者计划发表一系列关于统计建模的文章,这些文章将包括作者和其他人的原创研究成果。本文讨论了二维随机系统统计建模的方法学方面,给出了随机变量间统计关系相关规律的物理证明,因为从“信号+噪声”模型统计规律建模的角度出发,建立随机变量分布规律的问题具有实际意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Methodical aspects of statistical modeling of two-dimensional systems of random variables
According to the analysis of literature sources, the statistical processing of measurement results is not always given due attention. Unfortunately, appropriate algorithms are often limited to simplified statistical procedures, without the proper justification of the objective function, including to check the quality of processing of random data. Therefore, the author plans to publish a series of articles on statistical modeling, which will include the results of original research by the author and others. In this article are considered the methodological aspects of statistical modeling of two-dimensional systems with random data, physical substantiation of correlation regularities of statistical relations between random variables is given, since or the problem of establishing the law of distribution of random variable has practical interest from the point of view of modeling statistical regularities of model "signal + noise".
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