The problem of modeling the share of small business in GRP based on ten years of statistical data, calculating the dynamic relationship between them and the structural shifts of their development parameters, developing the most convenient models and estimating forecast parameters is set in this research work. The relevance of the research work is that there are many scientific studies devoted to the study of the relationship of small business to economic processes, but not enough attention has been paid to modeling the impact of small business on GRP using time series. This includes the statistical study of the contribution of small businesses to GRP, the analysis of various models for forecasting their economic relevance using time series, and the development and evaluation of the most appropriate economic-mathematical models.
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27 November 2024
INTERNATIONAL SCIENTIFIC CONFERENCE ON MODERN PROBLEMS OF APPLIED SCIENCE AND ENGINEERING: MPASE2024
2–3 May 2024
Samarkand, Uzbekistan
Research Article|
November 27 2024
Forecasting the size of small business share in the gross using the Arima model
Saodat Toshalieva;
Saodat Toshalieva
a)
Termez State University
, Termez, Uzbekistan
a)Corresponding author: saodattoshalieva2004@mail.ru
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Otabek Abduganiev;
Otabek Abduganiev
Termez State University
, Termez, Uzbekistan
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Shaxnoza Abdunazarova;
Shaxnoza Abdunazarova
Termez State University
, Termez, Uzbekistan
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Alim Akhmedov;
Alim Akhmedov
Termez State University
, Termez, Uzbekistan
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Aziza Fayzieva;
Aziza Fayzieva
Termez State University
, Termez, Uzbekistan
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Tuxta Mamatkulov
Tuxta Mamatkulov
Termez State University
, Termez, Uzbekistan
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a)Corresponding author: saodattoshalieva2004@mail.ru
AIP Conf. Proc. 3244, 020003 (2024)
Citation
Saodat Toshalieva, Otabek Abduganiev, Shaxnoza Abdunazarova, Alim Akhmedov, Aziza Fayzieva, Tuxta Mamatkulov; Forecasting the size of small business share in the gross using the Arima model. AIP Conf. Proc. 27 November 2024; 3244 (1): 020003. https://doi.org/10.1063/5.0241509
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