• DocumentCode
    981776
  • Title

    A New Method for Goodness-of-Fit Testing Based on Type-II Right Censored Samples

  • Author

    Lin, Chien-Tai ; Huang, Yen-Lung ; Balakrishnan, N.

  • Author_Institution
    Dept. of Math., Tamkang Univ., Tamkang
  • Volume
    57
  • Issue
    4
  • fYear
    2008
  • Firstpage
    633
  • Lastpage
    642
  • Abstract
    We present a simple method for testing goodness-of-fit based on type-II right censored samples. Applying the property of order statistics due to Malmquist, we can transform any conventional type-II right censored sample of size r out of n from a uniform distribution to a complete sample of size r from a uniform distribution. This result is used to develop the proposed goodness-of-fit test procedure. The simulation studies reveal that the proposed approach provides as good or better overall power than the method of Michael & Schucany.
  • Keywords
    statistical distributions; goodness-of-fit testing; order statistics; type-II right censored samples; uniform distribution; Empirical distribution function (EDF) statistics; Monte Carlo simulation; goodness-of-fit testing; order statistics; type-II censoring; uniform distribution;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/TR.2008.2005860
  • Filename
    4668475