DocumentCode
1658563
Title
Notice of Retraction
Research on comparison and application of forecasting methods in the communications and transportation
Author
Hongli Shen ; Jian Wang ; Xiaoming Xu ; Zhang, X.
Author_Institution
Sch. of Manage., Hebei Univ. of Technol., Tianjin, China
Volume
3
fYear
2010
Firstpage
105
Lastpage
108
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Forecasting is inferring its future according to evolution law of the things and it can offer scientific basis for decision-making. This paper first introduces four popular forecasting methods, that is time series forecasting, grey forecasting, regression forecasting and combined forecasting, then applies them to the traffic volume and freight volume in Tianjin´s transportation, at last, compares of the four methods and give an appraisement for their application.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
Forecasting is inferring its future according to evolution law of the things and it can offer scientific basis for decision-making. This paper first introduces four popular forecasting methods, that is time series forecasting, grey forecasting, regression forecasting and combined forecasting, then applies them to the traffic volume and freight volume in Tianjin´s transportation, at last, compares of the four methods and give an appraisement for their application.
Keywords
decision making; forecasting theory; grey systems; regression analysis; time series; transportation; Tianjin; combined forecasting; decision making; evolution law; freight volume; grey forecasting; regression forecasting; time series forecasting; traffic volume; Educational institutions; Forecasting; Predictive models; Solid modeling; Time series forecasting; combined forecasting; grey forecasting; regression forecasting;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Management Science (ICAMS), 2010 IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-6931-4
Type
conf
DOI
10.1109/ICAMS.2010.5553278
Filename
5553278
Link To Document