Estimating an unobserved component of a serial response time model |
| |
Authors: | Bruce Bloxom |
| |
Affiliation: | (1) Department of Psychology, Vanderbilt University, 134 Wesley Hall, 37240 Nashville, Tennessee |
| |
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.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. |
| |
Keywords: | nonparametric density estimation spline function convolution least squares estimation serial model |
本文献已被 SpringerLink 等数据库收录! |
|