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Parametrically Guided Generalized Additive Models with Application to Mergers and Acquisitions Data
Generalized nonparametric additive models present a flexible way to evaluate the effects of several covariates on a general outcome of interest via a link function. In this modeling framework, one assumes that the effect of each of the covariates is nonparametric and additive. However, in practice,...
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| Asıl Yazarlar: | , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2012
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3640594/ https://ncbi.nlm.nih.gov/pubmed/23645976 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10485252.2012.735233 |
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