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Estimating an Unobserved Component of a Serial Response Time Model

Published online by Cambridge University Press:  01 January 2025

Bruce Bloxom
Bruce Bloxom*
Affiliation:
Vanderbilt University
*
Requests for reprints should be sent to Bruce Bloxom, Department of Psychology, 134 Wesley Hall, Vanderbilt University, Nashville, Tennessee 37240.
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Abstract

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.

Keywords

nonparametric density estimationspline functionconvolutionleast squares estimationserial model

Information

Type
Original Paper
Information
Psychometrika , Volume 44 , Issue 4 , December 1979 , pp. 473 - 484
Copyright
Copyright © 1979 The Psychometric Society

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Footnotes

The author wishes to thank David Kohfeld, Jim Ramsay, Jim Townsend and two anonymous referees for a number of useful and stimulating comments on an earlier version of this paper.

References

Reference Notes

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