Title :
Pricing Model of Higher Education Tuition Based on Multivariate Linear Regression
Author :
Rao, Congjun ; Liu, Huanbin
Author_Institution :
Coll. of Math. & Inf. Sci., Huanggang Normal Univ., Huanggang, China
Abstract :
In this paper, the pricing problem of higher education tuition standard is studied. Based on the statistical analysis method and grey system theory, the pricing model of higher education tuition is established. First of all, the factors of affecting the tuition pricing are analyzed through the grey relational analysis method. The results show that national average appropriation, training fee and family income are three main influence factors on tuition standard. Then, a multivariate linear regression model is established according to these three main influencing factors, and the least-square method of the model parameters estimation is given. Finally, two evaluation indexes are given to illustrate the rationality and feasibility of this pricing model.
Keywords :
further education; grey systems; least squares approximations; parameter estimation; pricing; regression analysis; grey relational analysis; grey system theory; higher education tuition standard; least-square method; multivariate linear regression; parameters estimation; pricing model; statistical analysis method; Artificial intelligence; Computational intelligence; Computational modeling; Economic indicators; Education; Educational institutions; Educational products; Government; Linear regression; Pricing; grey relational analysis; higher education; multivariate linear regression model; tuition standard;
Conference_Titel :
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3835-8
Electronic_ISBN :
978-0-7695-3816-7
DOI :
10.1109/AICI.2009.355