Quantile maximum likelihood estimation of response time distributions

Title: Quantile maximum likelihood estimation of response time distributions
Creator: Heathcote, A.; Brown, Scott David; Mewhort, D. J. K.
Relation: Psychonomic Bulletin and Review Vol. 9, Issue 2, p. 394-401
Publisher: Psychonomic Soc Inc
Resource Type: journal article
Date: 2002
Description: We introduce and evaluate via a Monte Carlo study a robust new estimation technique that fits distribution functions to grouped response time (RT) data, where the grouping is determined by sample quantiles. The new estimator, quantile maximum likelihood (QML), is more efficient and less biased than the best alternative estimation technique when fitting the commonly used ex-Gaussian distribution. Limitations of the Monte Carlo results are discussed and guidance provided for the practical application of the new technique. Because QML estimation can be computationally costly, we make fast open source code for fitting available that can be easily modified to use QML in the estimation of any distribution function.
Subject: quantile maximum likelihood; QML; Monte Carlo study; response time distributions
Identifier: http://hdl.handle.net/1959.13/27224
Identifier: uon:1479
Identifier: ISSN:1069-9384
Language: eng
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