G10 Chapter Contents (PDF version)
G10 Chapter Introduction
NAG Library Manual

NAG Library Chapter Contents

G10 – Smoothing in Statistics


G10 Chapter Introduction – a description of the Chapter and an overview of the algorithms available

Routine
Name
Mark of
Introduction

Purpose
G10ABF
Example Text
Example Data
Example Plot
16 nagf_smooth_fit_spline
Fit cubic smoothing spline, smoothing parameter given
G10ACF
Example Text
Example Data
16 nagf_smooth_fit_spline_parest
Fit cubic smoothing spline, smoothing parameter estimated
G10BAF
Example Text
Example Data
Example Plot
16 nagf_smooth_withdraw_kerndens_gauss
Kernel density estimate using Gaussian kernel
Note: this routine is scheduled for withdrawal at Mark 27, see Advice on Replacement Calls for Withdrawn/Superseded Routines for further information.
G10BBF
Example Text
Example Data
Example Plot
25 nagf_smooth_kerndens_gauss
Kernel density estimate using Gaussian kernel (thread safe)
G10CAF
Example Text
Example Data
Example Plot
16 nagf_smooth_data_runningmedian
Compute smoothed data sequence using running median smoothers
G10ZAF
Example Text
Example Data
16 nagf_smooth_data_order
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. 2016