Kazan (Volga region) Federal University, KFU
KAZAN
FEDERAL UNIVERSITY
 
DATA PREPARATION FOR CREATION OF PRODUCTION FUNCTION OF CORPORATION IN THE PEOPLE'S REPUBLIC OF CHINA IN A VOLATILE ECONOMIC ENVIRONMENT
Form of presentationArticles in international journals and collections
Year of publication2019
Языканглийский
  • Akhmetova Irina Anatolevna, author
  • Demyanova Olga Vladimirovna, author
  • Sirazieva Zarina Nailevna, author
  • Shikhalyov Anatoliy Mikhaylovich, author
  • Bibliographic description in the original language Irina Akhmetov A., Anatoly Shikhalev M., Olga Demyanova V, Sirazieva Zarina N., DATA PREPARATION FOR CREATION OF PRODUCTION FUNCTION OF CORPORATION IN THE PEOPLE'S REPUBLIC OF CHINA IN A VOLATILE ECONOMIC ENVIRONMENT//INTERNATIONAL TRANSACTION JOURNAL OF ENGINEERING MANAGEMENT & APPLIED SCIENCES & TECHNOLOGIES. - 2019. - Vol.10, Is.19. - Art. №10A19F. - P. 1-8.
    Annotation In a volatile economic environment, a special calculation is necessary for developing mathematical models of the examined processes and the phenomena for which there was a typical use of a sample statistical population of small size. In similar circumstances the following tasks are objectively updated: 1) what means (methods) we should use and how it is necessary to operate with limited size of the examined statistical population; 2) in what degree results of the available homogeneous data of the examined sample population (SP) can be extended for their statistical and probabilistic generalization in the form of the parent population (PP). As the main mathematical model, we offer to apply the production functions (PF) model which various elements are investigated previously within the component analysis and the corresponding tests.
    Keywords Component analysis, statistical population, multiple regression, chi-squared test, production function.
    The name of the journal INTERNATIONAL TRANSACTION JOURNAL OF ENGINEERING MANAGEMENT & APPLIED SCIENCES & TECHNOLOGIES
    URL http://tuengr.com/V10A/10A19F.pdf
    Please use this ID to quote from or refer to the card https://repository.kpfu.ru/eng/?p_id=220641&p_lang=2

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