Abstract
The results of quantile smoothing often show crossing curves, in particular, for small data sets. We define a surface, called a quantile sheet, on the domain of the independent variable and the probability. Any desired quantile curve is obtained by evaluating the sheet for a fixed probability. This sheet is modeled by P-splines in form of tensor products of B-splines with difference penalties on the array of coefficients. The amount of smoothing is optimized by cross-validation. An application for reference growth curves for children is presented. © 2012 The Author(s).
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Schnabel, S. K., & Eilers, P. H. C. (2013). Simultaneous estimation of quantile curves using quantile sheets. AStA Advances in Statistical Analysis, 97(1), 77–87. https://doi.org/10.1007/s10182-012-0198-1
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