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Note: this function is scheduled for withdrawal at Mark 26, see Advice on Replacement Calls for Withdrawn/Superseded Functions for further information.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. 2015