Estimating weibull parameters by linear and nonlinear regression

Roger W. Berger, Kenneth Lawrence

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

A Monte Carlo simulation experiment was performed to compare the resulting mean square error of two different Weibull estimation methods. It was found that the MSE for both methods was quite high in relation to the Rao-Cramer lower bound. Some suggestions are offered for reducing the MSE of estimates.

Original languageEnglish (US)
Pages (from-to)617-619
Number of pages3
JournalTechnometrics
Volume16
Issue number4
DOIs
StatePublished - Nov 1974
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Modeling and Simulation
  • Applied Mathematics

Keywords

  • Non Linear Estimates
  • Non Linear Regression
  • Parameter Estimates
  • Rao-Cramer Lower Bounds
  • Weibull Distribution

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