Grey linear regression model and its application

The parameter estimation computation in grey linear regression model is relatively complicated, the development coefficient is decided by its simple average and it's vulnerable with the aberrant value and logarithmic neck may be negative. Aiming at those problems, in this paper, we present a ne...

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Bibliographic Details
Published inProceedings of 2011 IEEE International Conference on Grey Systems and Intelligent Services pp. 177 - 181
Main Authors Xinping Xiao, Yayun Lu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2011
Subjects
Analytical models
Data models
Development coefficient
Forecasting
Grey linear regression model
Linear regression
Mathematical model
Parameter estimation
Passenger traffic
Predictive models
Roads
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ISBN9781612844909
1612844901
ISSN2166-9430
DOI10.1109/GSIS.2011.6044045

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Summary:The parameter estimation computation in grey linear regression model is relatively complicated, the development coefficient is decided by its simple average and it's vulnerable with the aberrant value and logarithmic neck may be negative. Aiming at those problems, in this paper, we present a new estimation method and three kinds of representations of the model including the Range form, Connotation form and Differential form, then, we obtain the relationship between Connotation form and Differential form, and also get the relationship between the model and GM(1,1) model. Finally an application of short-term traffic flow prediction based on the model is given and some good effects have been achieved.
ISBN:9781612844909
1612844901
ISSN:2166-9430
DOI:10.1109/GSIS.2011.6044045