ESTIMATING AN UNOBSERVED COMPONENT OF A SERIAL RESPONSE-TIME MODEL

被引:14
作者
BLOXOM, B
机构
[1] Department of Psychology, Vanderbilt University, Nashville, 37240, Tennessee
关键词
convolution; least squares estimation; nonparametric density estimation; serial model; spline function;
D O I
10.1007/BF02296209
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
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. © 1979 The Psychometric Society.
引用
收藏
页码:473 / 484
页数:12
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