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Modelling and estimation of nonlinear quantile regression with clustered data
In regression applications, the presence of nonlinearity and correlation among observations offer computational challenges not only in traditional settings such as least squares regression, but also (and especially) when the objective function is nonsmooth as in the case of quantile regression. Meth...
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| I publikationen: | Comput Stat Data Anal |
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| Huvudupphovsman: | |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2018
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6663105/ https://ncbi.nlm.nih.gov/pubmed/31359897 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csda.2018.12.005 |
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