Performance optimizing for high education resources: A statistical model applied in Heilongjiang province

To identify the fittest quantity for every higher education resources in Heilongjiang province, a surface model is constructed based on collected data in 20 years, 15 vectors and the corresponding multinomial equation. Firstly, the vectors are integrated to human capital, material capital, intellectual capital and intangible capital, which have been reconstructed from the original data. Considering the performance of teaching and studying respectively, an integrated one is get to make the dependence variable, and the corresponding parameters are get by least square method. At last, joint analyzing the factual situation of Heilongjiang Province´s high education resource, the fittest resources are adjusted from the quantity get by the model.