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Introduction to Sub-Interval Analysis and its Applications (Selected Chapters)

Author

Listed:
  • Harin, Alexander

Abstract

A new mathematical direction is presented. Sub-interval analysis is a simple and effective tool for practical and theoretical calculations and estimations. Feasible applications of sub-interval analysis include economics (accounting, auditing, microeconomics, macroeconomics, banking, insurance, utility theory, econometrics, etc.), internet applications (databases, e-stores, e-shops, forums, blogs, search engines, etc.), statistics, Fourier analysis, large databases, preliminary recognition, sociology, elections, military science, engineering, technical sciences and many more.

Suggested Citation

  • Harin, Alexander, 2012. "Introduction to Sub-Interval Analysis and its Applications (Selected Chapters)," EconStor Books, ZBW - Leibniz Information Centre for Economics, number 62286, June.
    • Handle: RePEc:zbw:esmono:62286
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    References listed on IDEAS

    as
    1. Harin, Alexander, 2011. "Теоремы О Существовании Разрывов На Числовых Отрезках И В Шкале Вероятностей И Некоторые Возможности Их Применения [Theorems of existence of the ruptures in numerical segments and in the probabilit," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue 12, pages 5-7.
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    Citations

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    Cited by:

    1. Harin, Alexander, 2012. "Sub-interval analysis and possibilities of its use," MPRA Paper 43414, University Library of Munich, Germany.
    2. Harin, Alexander, 2012. "Суб-Интервальный Анализ И Возможности Его Применения [Sub-interval analysis and possibilities of its applications]," MPRA Paper 43494, University Library of Munich, Germany.

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    More about this item

    Keywords

    Mathematics; economics; microeconomics; macroeconomics; accounting; banking; insurance; econometrics; utility theory; Internet; Fourier analysis; large databases; preliminary recognition; elections; military science; engineering;
    All these keywords.

    JEL classification:

    • C - Mathematical and Quantitative Methods
    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

    Statistics

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