| dc.contributor.author | Yazıcı, Berna | |
| dc.contributor.author | Alpu, özlem | |
| dc.contributor.author | Yang, Yaning | |
| dc.date.accessioned | 2019-10-20T09:31:30Z | |
| dc.date.available | 2019-10-20T09:31:30Z | |
| dc.date.issued | 2007 | |
| dc.identifier.issn | 0361-0918 | |
| dc.identifier.uri | https://dx.doi.org/10.1080/03610910701539898 | |
| dc.identifier.uri | https://hdl.handle.net/11421/17711 | |
| dc.description | WOS: 000251715000010 | en_US |
| dc.description.abstract | This article examines several goodness-of-fit measures in the binary probit regression model. Existing pseudo-R-2 measures are reviewed, two modified and one new pseudo-R-2 measure are proposed. For the probit regression model, empirical comparisons are made for different goodness-of-fit measures with the squared sample correlation coefficient of the observed response and the predicted probabilities. As an illustration, the goodness-of-fit measures are applied to a "paid labor force" data set. | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Taylor & Francis Inc | en_US |
| dc.relation.isversionof | 10.1080/03610910701539898 | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Binary Choice Model | en_US |
| dc.subject | Goodness-Of-Fit (Gof) | en_US |
| dc.subject | Probit Regression Model | en_US |
| dc.subject | Pseudo-R-2 | en_US |
| dc.title | Comparison of goodness-of-fit measures in probit regression model | en_US |
| dc.type | article | en_US |
| dc.relation.journal | Communications in Statistics-Simulation and Computation | en_US |
| dc.contributor.department | Anadolu Üniversitesi, Fen Fakültesi, İstatistik Bölümü | en_US |
| dc.identifier.volume | 36 | en_US |
| dc.identifier.issue | 5 | en_US |
| dc.identifier.startpage | 1061 | en_US |
| dc.identifier.endpage | 1073 | en_US |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| dc.contributor.institutionauthor | Yazıcı, Berna | |
