• DocumentCode
    844955
  • Title

    Generalization of the method of maximum likelihood [insulation testing]

  • Author

    Jacquelin, Jean

  • Author_Institution
    Alcatel Alsthom Recherche, Marcoussis, France
  • Volume
    28
  • Issue
    1
  • fYear
    1993
  • fDate
    2/1/1993 12:00:00 AM
  • Firstpage
    65
  • Lastpage
    72
  • Abstract
    The method of maximum likelihood (MLH), frequently used to study experimental findings in accordance with Weibull statistics, become more biased as the number of samples becomes smaller. Semi-empirical corrective coefficients that have been proposed to attempt to correct the deficiency are unsatisfactory from a theoretical standpoint. It is demonstrated that MLH contains an implicit hypothesis, the validity of which is discussed. Generalization of the basic MLH formulas enables other hypotheses to be chosen. In particular, if the hypothesis chosen is derived from the median rank function, the whole becomes coherent
  • Keywords
    failure analysis; insulation testing; maximum likelihood estimation; statistical analysis; Weibull statistics; basic MLH formulas; electrical insulation; failure test; maximum likelihood method generalisation; median rank function; semi-empirical corrective coefficients; statistical analysis; Equations; Failure analysis; Helium; Insulation testing; Linear regression; Maximum likelihood estimation; Random variables; Shape; Stress; Weibull distribution;
  • fLanguage
    English
  • Journal_Title
    Electrical Insulation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9367
  • Type

    jour

  • DOI
    10.1109/14.192241
  • Filename
    192241