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Reference curve estimation via alternating sliced inverse regression
10.1002/env.630.abs
In order to obtain reference curves for data sets when the variable of interest and the covariate are multidimensional, we propose a new methodology in this article based on a dimension‐reduction approach and non‐parametric estimation of conditional quantiles. This approach is semiparametric and combines Alternating Sliced Inverse Regression and a kernel estimation of conditional quantiles. The usefulness of this estimation procedure is illustrated with a real data set collected for the purpose of establishing reference curves for the biophysical properties of the skin of healthy French women. Copyright © 2003 John Wiley & Sons, Ltd.
Reference curve estimation via alternating sliced inverse regression
10.1002/env.630.abs
In order to obtain reference curves for data sets when the variable of interest and the covariate are multidimensional, we propose a new methodology in this article based on a dimension‐reduction approach and non‐parametric estimation of conditional quantiles. This approach is semiparametric and combines Alternating Sliced Inverse Regression and a kernel estimation of conditional quantiles. The usefulness of this estimation procedure is illustrated with a real data set collected for the purpose of establishing reference curves for the biophysical properties of the skin of healthy French women. Copyright © 2003 John Wiley & Sons, Ltd.
Reference curve estimation via alternating sliced inverse regression
Gannoun, Ali (Autor:in) / Guinot, Christiane (Autor:in) / Saracco, Jérôme (Autor:in)
Environmetrics ; 15 ; 81-99
01.02.2004
19 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Reference curve estimation via alternating sliced inverse regression
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