Title :
Predict Amount of General Program Supported by NSFC
Author :
Zheng, Rongjiao ; Zhang, Shesheng ; Wang, Xing
Author_Institution :
Dept. of Stat., Wuhan Univ. of Technol., Wuhan, China
Abstract :
It is useful for researcher to predict amount of general program supported by NSFC. This paper explores the history data of amount of general program supported by NSFC, builds a regression equation of general program amount, analyses regression parameters by employing variance analysis method, and obtains predicting amount domain of general program supported by NSFC. The result of example shows the predicting accuracy is over 98%.
Keywords :
natural sciences; regression analysis; NSFC supported general program; National Natural Science Foundation of China; regression equation; regression parameters analyses; variance analysis method; Business; Decision support systems; Distributed computing; NSFC; general program; inear regression; prediction;
Conference_Titel :
Distributed Computing and Applications to Business Engineering and Science (DCABES), 2010 Ninth International Symposium on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-7539-1
DOI :
10.1109/DCABES.2010.144
