Simplified Likelihood Based Goodness-of-fit Tests for the Weibull Distribution

Meryam Krit*, Olivier Gaudoin, Min Xie, Emmanuel Remy

*Corresponding author for this work

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

7 Citations (Scopus)

Abstract

The aim of this paper is to present new likelihood based goodness-of-fit tests for the two-parameter Weibull distribution. These tests consist in nesting the Weibull distribution in three-parameter generalized Weibull families and testing the value of the third parameter by using the Wald, score, and likelihood ratio procedures. We simplify the usual likelihood based tests by getting rid of the nuisance parameters, using three estimation methods. The proposed tests are not asymptotic. A comprehensive comparison study is presented. Among a large range of possible GOF tests, the best ones are identified. The results depend strongly on the shape of the underlying hazard rate.
Original languageEnglish
Pages (from-to)920-951
JournalCommunications in Statistics Part B: Simulation and Computation
Volume45
Issue number3
Online published30 Oct 2015
DOIs
Publication statusPublished - 2016

Research Keywords

  • Extreme value distribution
  • Goodness-of-fit tests
  • Likelihood ratio test
  • Reliability
  • Score test
  • Wald test
  • Weibull distribution
  • Primary 62N05
  • Secondary 62F03

Fingerprint

Dive into the research topics of 'Simplified Likelihood Based Goodness-of-fit Tests for the Weibull Distribution'. Together they form a unique fingerprint.

Cite this