DescriptionSizeFormat
Author final version198 KBAdobe Acrobat PDFView/Open

Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/27224

Title
Quantile maximum likelihood estimation of response time distributions
Author/Creator
Heathcote, A.;  Brown, Scott David;  Mewhort, D. J. K.
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.
Relation
Psychonomic Bulletin and Review Vol. 9, Issue 2, p. 394-401
Date
2002
Publisher
Psychonomic Soc Inc
Keyword(s)
quantile maximum likelihood;  QML;  Monte Carlo study;  response time distributions
Resource Type
journal article
Identifier
http://hdl.handle.net/1959.13/27224
Identifier
ISSN:1069-9384
Reviewed
Reviewed
Full Text
Full Text
 
Image Thumbnail
96 Visitors 124 Hits 9 Downloads
Save/E-mail Citation
Citation Format
E-mail Address
Subject
"Psychonomic Bulletin and Review"
 
OR