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Efficient estimation of the Weibull shape parameter based on a modified profile likelihood

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

The maximum likelihood estimator of the Weibull shape parameter can be very biased. An estimator based on the modified profile likelihood is proposed and its properties are studied. It is shown that the new estimator is almost unbiased with relative bias being less than 1% in most of situations, and it is much more efficient than the regular MLE. The smaller the sample or the heavier of the censoring, the more efficient is the new estimator relative to the regular MLE.
Original languageEnglish
Pages (from-to)115-123
JournalJournal of Statistical Computation and Simulation
Volume73
Issue number2
DOIs
Publication statusPublished - 1 Feb 2003
Externally publishedYes

Research Keywords

  • Bias
  • Censored data
  • Mean squared error
  • Modified profile likelihood
  • Shape parameter
  • Weibull distribution

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