• DocumentCode
    3233948
  • Title

    Regression Model in Selecting Network Information Technology Companies and Analyzing their Business Development Trends

  • Author

    Luo, Hua ; Lu, Fengying ; Lu, Qiuying

  • Author_Institution
    Coll. of Sci., Zhejiang Sci- Tech Univ., Hangzhou, China
  • fYear
    2010
  • fDate
    21-24 Oct. 2010
  • Firstpage
    76
  • Lastpage
    80
  • Abstract
    Regression model is built to select the promising companies and track their business development. With the help of the multiple linear regression models and the factor analysis, it is concluded that the value of the promising companies is positively correlative to their net asset per share, net profit and their management size. Besides, their business development trend is analyzed, which is helpful for further research on the Network IT.
  • Keywords
    DP industry; business data processing; organisational aspects; regression analysis; business development trends; factor analysis; multiple linear regression models; network information technology companies; Companies; Indexes; Industries; Information technology; Radiofrequency identification; Software; business development trend; method of factor analysis; network information technology; regression models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking and Distributed Computing (ICNDC), 2010 First International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-8382-2
  • Type

    conf

  • DOI
    10.1109/ICNDC.2010.25
  • Filename
    5645404