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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.Date of publication of this fulltext: 11 Jan 2013 07:26
Article
DOI to cite this document: 10.5283/epub.27238
Abstract
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.
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| Item type | Article | ||||
| Journal or Publication Title | Journal of Mathematical Psychology | ||||
| Publisher: | Elsevier | ||||
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| Open Access Type: | Transfer of rights -1994 | ||||
| Volume: | 21 | ||||
| Page Range: | pp. 153-167 | ||||
| Date | 1980 | ||||
| Institutions | Business, Economics and Information Systems > Institut für Betriebswirtschaftslehre > Entpflichtete oder im Ruhestand befindliche Professoren > Lehrstuhl für Statistik (Prof. Dr. Alfred Hamerle) | ||||
| Identification Number |
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| Dewey Decimal Classification | 300 Social sciences > 330 Economics | ||||
| Status | Published | ||||
| Refereed | Yes, this version has been refereed | ||||
| Created at the University of Regensburg | Unknown | ||||
| URN of the UB Regensburg | urn:nbn:de:bvb:355-epub-272381 | ||||
| Item ID | 27238 |
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