DocumentCode
478210
Title
The Sample Number Selection Rules Study on Grey Forecast Model
Author
Wan, Jun ; Sifeng, Liu ; Tianxiang, Yao
Author_Institution
Coll. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing
Volume
3
fYear
2008
fDate
18-20 Oct. 2008
Firstpage
389
Lastpage
393
Abstract
To establish GM(1,1) model or the discrete GM(1,1) model, how to select the proper sample should be decided first, but no satisfied rules has been put forward about the selection of the sample number. The paper makes a comparable complete study on the selection rule about sample data. It proves that the growth rates of the fitted value of the GM(1,1) model and the discrete GM(1,1) model are both fixed value. If the growth rates of the primary sequence are equal, the fitted value deriving from the discrete GM(1,1) model the same as the primary sequence. The closer the growth rates of the sample are, the smaller the average absolute error of sample data is. If the average absolute error of the growth rates is smaller enough, the sample data can be regarded as the same circle data. According to the above study, the paper puts forward the selection rules of the sample data.
Keywords
forecasting theory; grey systems; GM(1,1) model; discrete GM(1,1) model; grey forecast model; sample number selection rules; Character generation; Conference management; Control systems; Demand forecasting; Economic forecasting; Educational institutions; Equations; Nonlinear control systems; Predictive models; Time factors;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location
Jinan
Print_ISBN
978-0-7695-3304-9
Type
conf
DOI
10.1109/ICNC.2008.839
Filename
4667167
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