The linearly decreasing stress Weibull (LDSWeibull): a new Weibull-like distribution

Roger W. Barnard, Chamila Perera, James G. Surles, A. Alexandre Trindade

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

Motivated by an engineering pullout test applied to a steel strip embedded in earth, we show how the resulting linearly decreasing force leads naturally to a new distribution, if the force under constant stress is modeled via a three-parameter Weibull. We term this the LDSWeibull distribution, and show that inference on the parameters of the underlying Weibull can be made upon collection of data from such pullout tests. Various classical finite-sample and asymptotic properties of the LDSWeibull are studied, including existence of moments, distribution of extremes, and maximum likelihood based inference under different regimes. The LDSWeibull is shown to have many similarities with the Weibull, but does not suffer from the problem of having an unbounded likelihood function under certain parameter configurations. We demonstrate that the quality of its fit can also be very competitive with that of the Weibull in certain applications.

Original languageEnglish
Article number11
JournalJournal of Statistical Distributions and Applications
Volume6
Issue number1
DOIs
StatePublished - Dec 1 2019

Keywords

  • Extreme values
  • Maximum likelihood estimate
  • Pullout test
  • Reliability
  • Wind speed data

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