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Vertical Electrical Sounding Investigation in East River Nile Area (Khartoum State),Sudan
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作者 EldawiMG FarwaAG LiuTianyou 《Journal of China University of Geosciences》 SCIE CSCD 2003年第4期368-373,共6页
Vertical electrical sounding (VES) was carried out in the east of the River Nile. The main objectives of the resistivity survey are to determine the types and thicknesses of sedimentary units in the area, to define th... Vertical electrical sounding (VES) was carried out in the east of the River Nile. The main objectives of the resistivity survey are to determine the types and thicknesses of sedimentary units in the area, to define the contact separating the sediments from the crystalline basement complex, and to determine the structural features of the subsurface formations. Several local depressions, whose maximum depth to the basement surface is about 160 m, are revealed as an outcome of the VES method, and suggested to have been infilled with undifferentiated units of the Nubian Group in particular Omdurman Formation. Thus, a depth to the basement complex is calculated and the associated structural map of the east of the River Nile is drawn. The map is useful for the groundwater drilling, as far as the presence or absence of the aquifer is concerned. 展开更多
关键词 ves method basement complex structural features.
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Forecasting Tesla’s Stock Price Using the ARIMA Model 被引量:1
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作者 Qiangwei Weng Ruohan Liu Zheng Tao 《Proceedings of Business and Economic Studies》 2022年第5期38-45,共8页
The stock market is an important economic information center.The economic benefits generated by stock price prediction have attracted much attention.Although the stock market cannot be predicted accurately,the stock m... The stock market is an important economic information center.The economic benefits generated by stock price prediction have attracted much attention.Although the stock market cannot be predicted accurately,the stock market’s prediction of the trend of stock prices helps in grasping the operation law of the stock market and the influence mechanism on the economy.The autoregressive integrated moving average(ARIMA)model is one of the most widely accepted and used time series forecasting models.Therefore,this paper first compares the return on investment(ROI)of Apple and Tesla,revealing that the ROI of Tesla is much greater than that of Apple,and subsequently focuses on ARIMA model’s prediction on the available time series data,thus concluding that the ARIMA model is better than the Naïve method in predicting the change in Tesla’s stock price trend. 展开更多
关键词 Stock price forecast ARIMA model Naïve method TESLA
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