Estimating an Unobserved Component of a Serial Response Time Model
Copyright policy )Estimating an Unobserved Component of a Serial Response Time Model
A method is developed for estimating the response time distribution of an unobserved component in a two-component serial model, assuming the components are stochastically independent. The estimate of the component’s density function is constrained only to be unimodal and non-negative. Numerical examples suggest that the method can yield reasonably accurate estimates with sample sizes of 300 and, in some cases, with sample sizes as small as 100.
- Vanderbilt University United States
Spline approximation, least squares estimation, serial model, density estimation, convolution, estimating response time distribution, Nonparametric estimation, Applications of statistics to psychology
Spline approximation, least squares estimation, serial model, density estimation, convolution, estimating response time distribution, Nonparametric estimation, Applications of statistics to psychology
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