This paper addresses some important theoretical and applied aspects of modern computer science that are associated with analytical processing of scientific, technical, and economic information. The main trends in using automated non-parametric procedures for logical and mathematical processing of arrays (flows) of digital data are discussed. Some methodological aspects of developing new technological approaches and algorithms for analytical post-processing that allow one to design a wide range of multi-step procedures for assessment and multivariate analysis of scientific, technical, and economic data based on polygram estimation of functionals are considered. It is shown that the procedures and algorithms based on these methods of non-parametric statistics and multivariate data analysis can be useful in various applications, including the development of analytical technologies for big data.

中文翻译：

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多元分析程序自动化的理论和应用方面

本文讨论了与计算机科学，技术和经济信息的分析处理相关的现代计算机科学的一些重要理论和应用方面。讨论了使用自动化非参数过程对数字数据阵列（流）进行逻辑和数学处理的主要趋势。考虑了开发用于分析后处理的新技术方法和算法的一些方法论方面，这些方法和算法使人们可以基于功能的多态性估计来设计范围广泛的多步骤程序，以对科学，技术和经济数据进行评估和多变量分析。结果表明，基于这些非参数统计和多元数据分析方法的过程和算法可在各种应用中有用，