Multivariable Forecasting Model Based on Trend Grey Correlation Degree and its Application

Li-ping Fu, Lu-yu Wang and Juan Han ()
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Li-ping Fu: Public Resource Management Research Center, Tianjin University
Lu-yu Wang: Public Resource Management Research Center, Tianjin University
Juan Han: Tianjin University

Chapter Chapter 41 in The 19th International Conference on Industrial Engineering and Engineering Management, 2013, pp 403-410 from Springer

Abstract: Abstract Among the current forecasting methods, trend grey correlation degree forecasting method is limited to a single variable time series data, but cannot solve the problem of multivariable forecasting. While multiple regression forecasting can only be used for multivariable linear forecasting, and can be easily affected by random factors. Therefore, this paper combines trend grey correlation degree forecasting based on optimization method and the multiple regression forecasting, generates the multivariable forecasting model based on trend grey correlation analysis, and uses this model to forecast GDP in Henan Province, not only to overcome the effect of random factors on time series, but also to comprehensively consider the various factors that affect the development of objects, thus to achieve the effect of improving accuracy and increasing the reliability of forecasting. And this paper also provides a new method for the study of multivariable combination forecasting.

Keywords: Grey prediction; Multivariate regression forecasting; Optimization model; Trend grey correlation degree (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-38391-5_41

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DOI: 10.1007/978-3-642-38391-5_41

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