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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 (author) / Guinot, Christiane (author) / Saracco, Jérôme (author)
Environmetrics ; 15 ; 81-99
2004-02-01
19 pages
Article (Journal)
Electronic Resource
English
Reference curve estimation via alternating sliced inverse regression
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