Reply to Speckman and Rouder: A theoretical basis for QML
By Andrew Heathcote, Scott D. Brown. 2004
69 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/cd11a31ed2fa01217f86cb5b2c8c26c03f67ad23
How researchers see this paper
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In Statistics and Probability
- Denis Cousineau
- Scott D. Brown
- Jane Neumann
- Gilles Dutilh
- Birte U. Forstmann
- Richard M. Shiffrin
- Eric-Jan Wagenmakers
- Andrew Heathcote
Citations in the corpus
- The simplest complete model of choice response time: linear ballistic accumulation. (2008, methodology): “…estimates for correct and error RT distributions given in Ratcliff et al.'s (2004) tables, we compared the goodness of fit between CDFs predicted by the LBA model and the data using the quantile maximum product method of (Heathcote, Brown, & Mewhort, 2002, see also Heathcote & Brown, 2004).”
- Fitting the three-parameter weibull distribution: review and evaluation of existing and new methods (2009, methodology): “A generalization of MPS was proposed, the Quantile Maximum Product Estimation (QMPE) [14]-[17] and explored in [9].”
- Striatum and pre-SMA facilitate decision-making under time pressure (2008, methodology): “For fixed model parameters, the probability mass predicted by the LBA model for each interquantile bin was computed, and they were combined by using the quantile maximum product method (31, 32).”