Article is devoted to improvement of a method of calculation of these various socio-economic indexes of average sizes which are widely used in statistical practice of the analysis: quadratic and cubic, used in non-standard conditions - for a case of determination of average lengths of the parties of squared figures respectively on the plane (rectangle) and in space (parallelepiped). Approbation of the offered method of calculation of average quadratic and average cubic for determination of average lengths of the parties of squared figures respectively on the plane (rectangle) and in space (parallelepiped) on numerical data is carried out. Some problematic issues of application of the generalizing statistics are considered.

Язык оригиналаанглийский
Название основной публикацииProceedings of the 32nd International Business Information Management Association Conference, IBIMA 2018 - Vision 2020
Подзаголовок основной публикацииSustainable Economic Development and Application of Innovation Management from Regional expansion to Global Growth
РедакторыKhalid S. Soliman
ИздательIBIMA
Страницы7431-7438
Число страниц8
ISBN (электронное издание)9780999855119
СостояниеОпубликовано - 1 янв 2018
Событие31st International Business Information Management Association Conference: Innovation Management and Education Excellence through Vision 2020, IBIMA 2018 - Milan, Италия
Продолжительность: 25 апр 201826 апр 2018

Серия публикаций

НазваниеProceedings of the 32nd International Business Information Management Association Conference, IBIMA 2018 - Vision 2020: Sustainable Economic Development and Application of Innovation Management from Regional expansion to Global Growth

конференция

конференция31st International Business Information Management Association Conference: Innovation Management and Education Excellence through Vision 2020, IBIMA 2018
Страна/TерриторияИталия
ГородMilan
Период25/04/1826/04/18

    Предметные области Scopus

  • Менеджмент технологии и инноваций
  • Стратегия и управление
  • Прикладные компьютерные науки
  • Человеко-машинное взаимодействие
  • Бизнес и международное управление

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