6.35 G10 Smoothing in Statistics

g10 - Smoothing in Statistics

g10 Chapter Introduction

Routine Name Mark of Introduction Purpose
g10abc 6 nag_smooth_spline_fit
Fit cubic smoothing spline, smoothing parameter given
g10acc 6 nag_smooth_spline_estim
Fit cubic smoothing spline, smoothing parameter estimated
g10bac 6 nag_kernel_density_estim
Kernel density estimate using Gaussian kernel
Note: this function is scheduled for withdrawal at Mark 26, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information.
g10bbc 24 nag_kernel_density_gauss
Kernel density estimate using Gaussian kernel (thread safe)
g10cac 3 nag_running_median_smoother
Compute smoothed data sequence using running median smoothers
g10zac 6 nag_order_data
Reorder data to give ordered distinct observations