Can the wrong horse win: the ability of race models to predict fast or slow errors
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Publication:2197105
DOI10.1016/j.jmp.2020.102360zbMath1448.91248OpenAlexW3018411407MaRDI QIDQ2197105
Publication date: 4 September 2020
Published in: Journal of Mathematical Psychology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmp.2020.102360
conditional hazard functions for race modelsfast `right' race models vs. fast `wrong' race modelsinhomogeneous Poisson race modelsparallel race modelsPoisson models with proportional rates
Cites Work
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- Stochastic models of decisions about motion direction: behavior and physiology
- On mimicry among sequential sampling models
- Possibly dependent probability summation of reaction time
- The accumulator model of two-choice discrimination
- The horse race random utility model for choice probabilities and reaction times, and its competing risks interpretation
- A sequential theory of psychological discrimination
- Distribution inequalities for parallel models with unlimited capacity
- A stochastic version of general recognition theory
- Simple additivity of stochastic psychological processes: Tests and measures
- Spatio-temporal properties of elementary perception: an investigation of parallel, serial, and coactive theories
- A theoretical study of process dependence for critical statistics in standard serial models and standard parallel models
- The general-gamma distribution and reaction times
- Consequences of base time for redundant signals experiments
- Conditions for the representation of absolute judgment and pair comparison isosensitivity curves by cumulative distributions
- Models for choice-reaction time
- The relationship of variance to interaction contrast in parallel systems factorial technology
- The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks
- SOME RESULTS CONCERNING THE IDENTIFIABILITY OF PARALLEL AND SERIAL PROCESSES
- Foundations of a General Theory of Sequential Decision Functions
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