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QMPE: Estimating Lognormal, Wald, and Weibull RT distributions with a parameter-dependent lower bound

  • Published: May 2004
  • Volume 36, pages 277–290, (2004)
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Behavior Research Methods, Instruments, & Computers Aims and scope Submit manuscript
QMPE: Estimating Lognormal, Wald, and Weibull RT distributions with a parameter-dependent lower bound
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  • Andrew Heathcote1,
  • Scott Brown2 &
  • Denis Cousineau3 
  • 1462 Accesses

  • 115 Citations

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Abstract

We describe and test quantile maximum probability estimator (QMPE), an open-source ANSI Fortran 90 program for response time distribution estimation.1 QMPE enables users to estimate parameters for the ex-Gaussian and Gumbel (1958) distributions, along with three “shifted” distributions (i.e., distributions with a parameter-dependent lower bound): the Lognormal, Wald, and Weibull distributions. Estimation can be performed using either the standard continuous maximum likelihood (CML) method or quantile maximum probability (QMP; Heathcote & Brown, in press). We review the properties of each distribution and the theoretical evidence showing that CML estimates fail for some cases with shifted distributions, whereas QMP estimates do not. In cases in which CML does not fail, a Monte Carlo investigation showed that QMP estimates were usually as good, and in some cases better, than CML estimates. However, the Monte Carlo study also uncovered problems that can occur with both CML and QMP estimates, particularly when samples are small and skew is low, highlighting the difficulties of estimating distributions with parameter-dependent lower bounds.

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Author information

Authors and Affiliations

  1. School of Behavioural Sciences, Aviation Building, University of Newcastle, University Avenue, 2308, Callaghan, NSW, Australia

    Andrew Heathcote

  2. University of California, Irvine, California

    Scott Brown

  3. Université de Montréal, Montréal, Québec, Canada

    Denis Cousineau

Authors
  1. Andrew Heathcote
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  2. Scott Brown
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  3. Denis Cousineau
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Corresponding author

Correspondence to Andrew Heathcote.

Additional information

This work was supported by Australian Research Council grants to S. Andrews and A.H. and to A.H., B. Hayes, and D. J. K. Mewhort.

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Heathcote, A., Brown, S. & Cousineau, D. QMPE: Estimating Lognormal, Wald, and Weibull RT distributions with a parameter-dependent lower bound. Behavior Research Methods, Instruments, & Computers 36, 277–290 (2004). https://doi.org/10.3758/BF03195574

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  • Received: 06 May 2003

  • Accepted: 22 April 2004

  • Issue Date: May 2004

  • DOI: https://doi.org/10.3758/BF03195574

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Keywords

  • Weibull Distribution
  • Skewed Distribution
  • Royal Statistical Society
  • Monte Carlo Study
  • Shift Parameter
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