Go to content
UR Home

Goodness-of-fit tests for probabilistic measurement models

Hamerle, Alfred and Tutz, Gerhard (1980) Goodness-of-fit tests for probabilistic measurement models. Journal of Mathematical Psychology 21, pp. 153-167.

Download (691kB)
Date of publication of this fulltext: 11 Jan 2013 07:26

at publisher (via DOI)


General goodness of fit tests for probabilistic response models are developed. The tests are applicable in psychophysics, in the theory of choice behavior and in mathematical learning theories. The necessary and sufficient constraints that a measurement model puts on the response probabilities are used for testing this model. In addition, representation theorems for some models are proved and the goodness of fit to experimental data is considered.

Export bibliographical data

Item type:Article
Institutions:Business, Economics and Information Systems > Institut für Betriebswirtschaftslehre > Entpflichtete oder im Ruhestand befindliche Professoren > Lehrstuhl für Statistik (Prof. Dr. Alfred Hamerle)
Identification Number:
Dewey Decimal Classification:300 Social sciences > 330 Economics
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Unknown
Item ID:27238
Owner only: item control page


Downloads per month over past year

  1. Homepage UR

University Library

Publication Server


Publishing: oa@ur.de

Dissertations: dissertationen@ur.de

Research data: daten@ur.de

Contact persons