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- aggregation classification "A1".
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2013".
- aggregation format "application/pdf".
- aggregation hasFormat 2109261.bibtex.
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- aggregation isPartOf urn:issn:0361-0926.
- aggregation language "eng".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Mathematics and Statistics".
- aggregation title "Goodness-of-fit methods for probabilistic index models".
- aggregation abstract "A class of semiparametric regression models, called probabilistic index models, has been recently proposed. Because these models are semiparametric, inference is only valid when the proposed model is consistent with the underlying data-generating model. However, no formal goodness-of-fit methods for these probabilistic index models exist yet. We propose a test and a graphical tool for assessing the model adequacy. Simulation results indicate that both methods succeed in detecting lack-of-fit. The methods are also illustrated on a case study.".
- aggregation authorList BK579906.
- aggregation endPage "1207".
- aggregation issue "7".
- aggregation startPage "1193".
- aggregation volume "42".
- aggregation aggregates 3144323.
- aggregation aggregates 3144324.
- aggregation isDescribedBy 2109261.
- aggregation similarTo 03610926.2012.695851.
- aggregation similarTo LU-2109261.