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.

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doi.org/10.1007/s10182-012-0198-1, hdl.handle.net/1765/72905
AStA Advances in Statistical Analysis
Department of Biostatistics

Schnabel, S., & Eilers, P. (2013). Simultaneous estimation of quantile curves using quantile sheets. AStA Advances in Statistical Analysis, 97(1), 77–87. doi:10.1007/s10182-012-0198-1