This manual relates to an old release of the Library.
The documentation for the current release is also available on this site.

g10 Chapter Contents (PDF version)
g10 Chapter Introduction
NAG Library Manual

NAG Library Chapter Contents

g10 – Smoothing in Statistics

g10 Chapter Introduction

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
g10bac
Example Text
Example Data
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Note: this function is scheduled for withdrawal at Mark 26, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information.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
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

g10 Chapter Contents (PDF version)
g10 Chapter Introduction
NAG Library Manual

© The Numerical Algorithms Group Ltd, Oxford, UK. 2014