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List of publications on a keyword: «статистическая обработка»

  • Software for checking pedagogical experiment data for deviations from the normal distribution in the Scilab environment

    Book Chapter
    Current issues of pedagogy and psychology
    Authors:
    Valerii I. Zagrevskii, Dmitrii A. Lavshuk, Andrei V. Klochkov
    Work direction:
    Глава 13
    Abstract:
    The chapter discusses the mathematical apparatus of statistical analysis used in pedagogical research on physical culture and sports. A software solution for estimating the deviation of the empirical distribution of experimental data from the normal distribution based on the Scilab software package is presented. The technology in question implements the GOST R ISO 5479–2002 for checking the deviation of the probability distribution from the normal distribution based on the graphical method and using the criteria of moments: skewness and kurtosis. The paper presents the implementation of the results of computational experiments that solve the research goal.
    Keywords:
    pedagogical experiment, statistical processing, normal distribution, criteria for checking the normality of the distribution
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  • Ob ekonomiko-matematicheskoi modeli sviazi chelovecheskogo kapitala s obshchestvennym proizvodstvom

    Proceeding
    Law, Economics and Management
    Authors:
    Nataliia V. Loseva, Olga V. Troshina
    Work direction:
    Социально-экономическое развитие общества
    Abstract:
    Теория человеческого капитала занимается изучением зависимости доходов общества от знаний, навыков и природных способностей людей, что, действительно, делает его одним из важнейших факторов экономического роста как страны в целом, так и отдельных предприятий. В работе рассмотрена экономико-математическая модель зависимости ВВП страны от основных фондов и человеческого капитала. Предложен вариант определения количественного значения человеческого капитала на основе данных об образовании, полученном трудоспособным населением страны.
    Keywords:
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  • Methods of econometric analysis of financial indicators

    Proceeding
    Modern trends in management, economics and business: from theory to practice
    Authors:
    Denis A. Gushchin, Alina E. Sennikova
    Work direction:
    Информационные технологии в управлении, экономике и предпринимательстве
    Abstract:
    This article explores methods of econometric analysis of financial indicators. The most current and necessary approaches for studying the financial sector in 2023 are identified in this article. The article highlights three main classes of econometric models: time series models, single-equation regression models, and simultaneous equation systems. It is important to emphasize that the choice of method depends on specific goals and the characteristics of the available data. Factors such as data availability and quality, model complexity, research objectives, time frames, and the complexity of relationships all influence the selection of the most appropriate method. Ultimately, the article underscores the importance of carefully selecting a method, conducting an analysis of results, and making informed decisions for effective financial management and forecasting future changes.
    Keywords:
    methods of econometric analysis, econometric research, statistical processing and grouping of information, variational and variance analysis, regression and correlation analysis, statistical equations
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