Application of Sobolev-Volterra projection and finite element numerical analysis of integral differential equations in modern art design
- Autores: Zheng Tang, Abdullah Albarakati
- Localización: Applied Mathematics and Nonlinear Sciences, ISSN-e 2444-8656, Vol. 7, Nº. 2, 2022, págs. 139-150
- Idioma: inglés
- Enlaces
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Resumen
The article uses the Spss statistical analysis software to establish a multiple linear regression model of short-term stockprice changes in domestic agricultural listed companies. It uses a stable time series based on the ARMA model for stableagricultural value-added, fiscal expenditure and market interest rates. The regression method is used to study its impact onthe stock price index. Compared with the existing stock forecasting methods, this method has simple data collection andno specific requirements for data selection, and the prediction results have a high degree of fit. Therefore, this method issuitable for most stocks.
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