New estimators for the probit regression model with multicollinearity
The probit regression model (PRORM) aims to model a binary response with one or more explanatory variables. The parameter of the PRORM is estimated using an estimation method called the maximum likelihood (ML), like a logistic model. When multicollinearity exists, ML performance suffers. In this cas...
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| Asıl Yazarlar: | , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Elsevier
2023-03-01
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| Seri Bilgileri: | Scientific African |
| Konular: | |
| Online Erişim: | http://www.sciencedirect.com/science/article/pii/S2468227623000248 |
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