• DocumentCode
    1496387
  • Title

    Criterion for selecting model order in identification

  • Author

    Kwon, Soon H. ; Sugeno, M.

  • Author_Institution
    Sch. of E&E, Yeungnam Univ., Kyongbun, South Korea
  • Volume
    35
  • Issue
    4
  • fYear
    1999
  • fDate
    2/18/1999 12:00:00 AM
  • Firstpage
    292
  • Lastpage
    293
  • Abstract
    The authors propose a consistent and bias corrected extension of Akaike´s information criterion (AIC), AICbc. Empirical performances of the AICbc are studied. the AICbc was found to result in relatively better model order choices of a linear regression model using a Monte Carlo experiment
  • Keywords
    Monte Carlo methods; identification; statistical analysis; Monte Carlo experiment; bias corrected extension; information criterion; linear regression model; model order selection; selection criterion; system identification;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19990201
  • Filename
    756702
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1496387