• DocumentCode
    1386638
  • Title

    Approximate MLEs for the location and scale parameters of the half-logistic distribution with type-II right-censoring

  • Author

    Balakrishnan, N. ; Wong, K.H.T.

  • Author_Institution
    Dept. of Math. & Stat., McMaster Univ., Hamilton, Ont., Canada
  • Volume
    40
  • Issue
    2
  • fYear
    1991
  • fDate
    6/1/1991 12:00:00 AM
  • Firstpage
    140
  • Lastpage
    145
  • Abstract
    For the half-logistic distribution the maximum likelihood method does not provide an explicit estimator for the scale parameter based on either complete or right-censored samples. The authors provide a simple method of deriving an explicit estimator by approximating the likelihood function. The bias and variance of this estimator are studied, and it is shown that this estimator is as efficient as the best linear unbiased estimator. An example to illustrate the method is presented
  • Keywords
    life testing; parameter estimation; reliability theory; statistical analysis; MLE; bias; explicit estimator; failure rate; half-logistic distribution; life testing; location parameter; maximum likelihood estimation; reliability; scale parameter; type-II right-censoring; variance; Distributed computing; Ducts; Hazards; Life testing; Logistics; Maximum likelihood estimation; Random variables; Statistical distributions; Statistics;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/24.87114
  • Filename
    87114