• DocumentCode
    264829
  • Title

    Study on Time Series Data Based on Structural Equation Modeling

  • Author

    Yan Zhang ; Hui Zhang

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Jiujiang Univ., Jiujiang, China
  • Volume
    1
  • fYear
    2014
  • fDate
    26-27 Aug. 2014
  • Firstpage
    119
  • Lastpage
    122
  • Abstract
    SEM is a burgeoning multivariate data analysis method. ARMA is one of the most widely used model about time series data. This paper compare the mathematical model about the SEM and ARMA model, and find they are similar. So we can process ARMA model with SEM.
  • Keywords
    autoregressive moving average processes; data analysis; time series; ARMA model; SEM; multivariate data analysis method; structural equation modeling; time series data; Analytical models; Data models; Educational institutions; Equations; Mathematical model; Numerical analysis; Time series analysis; ARMA; Structural Equation Modeling; Time Series Data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2014 Sixth International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4799-4956-4
  • Type

    conf

  • DOI
    10.1109/IHMSC.2014.37
  • Filename
    6917320
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=264829