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

来源：

PSYCHOMETRIKA | 1979年 / 44卷 / 04期

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

页码：473 / 484

页数：12

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