Prediction limits for the Weibull distribution utilizing simulation

Robert W. Mee, Debashis Kushary

Research output: Contribution to journalArticlepeer-review

20 Scopus citations


A simulation-based procedure is suggested for constructing prediction limits for Weibull populations. This procedure is based on maximum likelihood (ML) estimation. Although computation of the ML estimates and determination of a needed percentile via simulation require a computer, we assert that the proliferation of personal computers makes these procedures more convenient than alternative procedures in the literature which require several specialized tables. This is particularly true for censored samples, since then the needed tables are generally incomplete and interpolation is required. Simulation may be used in all situations, i.e., any sample size, any level of Type II (failure) censoring, and any order statistic from a future sample. We illustrate our methods with three data sets from the literature.

Original languageEnglish (US)
Pages (from-to)327-336
Number of pages10
JournalComputational Statistics and Data Analysis
Issue number3
StatePublished - Mar 1994

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Computational Mathematics
  • Computational Theory and Mathematics
  • Applied Mathematics


  • Computer program
  • extreme value distribution
  • type II censored data


Dive into the research topics of 'Prediction limits for the Weibull distribution utilizing simulation'. Together they form a unique fingerprint.

Cite this