• DocumentCode
    2048192
  • 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
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    697
  • Lastpage
    701
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/DCABES.2010.144
  • Filename
    5570819
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2048192