Smoothing techniques for curve estimation : proceedings of a workshop held in Heidelberg April 2 4 1979 Nonparametric curve estimation A tree structured approach to nonparametric multiple regression Kernel estimation of regression functions Total least squares Some theoretical results on Tukey’s 3R smoother Bias and efficiency robustness of general M estimators for regression with random carriers Approximate conditional mean type smoothers and interpolators Optimal convergence properties of kernel estimates of derivatives of a density function Density quantile estimation approach to statistical data modelling Global measures of deviation for kernel and nearest neighbor density estimates Some comments on the asymptotic behavior of robust smoothers Cross validation techniques for smoothing spline functions in one or two dimensions Convergence rates of thin plate smoothing splines wihen the data are noisy.