Average linear approximations for smooth functions

Average linear approximations for smooth functions using empirical and Gaussian probabilities are introduced. The convergence of these approximations is shown to be uniform, in the sense of the Weierstrass approximation theorem. Average linear approximations with prearranged error functions are fina...

Full description

Bibliographic Details
Main Author: Andrea Pallini
Format: Article
Language:English
Published: University of Bologna 2007-10-01
Series:Statistica
Online Access:http://rivista-statistica.unibo.it/article/view/91
id doaj-a7d8d656031647a8bd4738303e83117c
record_format Article
spelling doaj-a7d8d656031647a8bd4738303e83117c2020-11-24T21:17:47ZengUniversity of BolognaStatistica0390-590X1973-22012007-10-0165327129210.6092/issn.1973-2201/9186Average linear approximations for smooth functionsAndrea PalliniAverage linear approximations for smooth functions using empirical and Gaussian probabilities are introduced. The convergence of these approximations is shown to be uniform, in the sense of the Weierstrass approximation theorem. Average linear approximations with prearranged error functions are finally studied.http://rivista-statistica.unibo.it/article/view/91
collection DOAJ
language English
format Article
sources DOAJ
author Andrea Pallini
spellingShingle Andrea Pallini
Average linear approximations for smooth functions
Statistica
author_facet Andrea Pallini
author_sort Andrea Pallini
title Average linear approximations for smooth functions
title_short Average linear approximations for smooth functions
title_full Average linear approximations for smooth functions
title_fullStr Average linear approximations for smooth functions
title_full_unstemmed Average linear approximations for smooth functions
title_sort average linear approximations for smooth functions
publisher University of Bologna
series Statistica
issn 0390-590X
1973-2201
publishDate 2007-10-01
description Average linear approximations for smooth functions using empirical and Gaussian probabilities are introduced. The convergence of these approximations is shown to be uniform, in the sense of the Weierstrass approximation theorem. Average linear approximations with prearranged error functions are finally studied.
url http://rivista-statistica.unibo.it/article/view/91
work_keys_str_mv AT andreapallini averagelinearapproximationsforsmoothfunctions
_version_ 1726012081526800384