NAG Library Chapter Contents

g10 – Smoothing in Statistics


g10 Chapter Introduction – a description of the Chapter and an overview of the algorithms available

Function
Name
Mark of
Introduction

Purpose
g10abc
Example Text
Example Data
Example Plot
6 nag_smooth_spline_fit
Fit cubic smoothing spline, smoothing parameter given
g10acc
Example Text
Example Data
6 nag_smooth_spline_estim
Fit cubic smoothing spline, smoothing parameter estimated
g10bbc
Example Text
Example Data
Example Plot
24 nag_kernel_density_gauss
Kernel density estimate using Gaussian kernel (thread safe)
g10cac
Example Text
Example Data
3 nag_running_median_smoother
Compute smoothed data sequence using running median smoothers
g10zac
Example Text
Example Data
6 nag_order_data
Reorder data to give ordered distinct observations
© The Numerical Algorithms Group Ltd, Oxford, UK. 2017