Asymptotics for linear approximations of smooth functions of means

A higher-order version of the linear approximation of smooth functions of means proposed in Pallini (2002) is defined and studied. This version is shown to improve over the error of order Op(n -2) in probability, as the sample size n diverges, yielding a smaller error of order Op(n -3), as n diverge...

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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/62
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spelling doaj-c4da708f309c48bb8fb87eea113d0ee42020-11-24T23:19:47ZengUniversity of BolognaStatistica0390-590X1973-22012007-10-0164462564110.6092/issn.1973-2201/6257Asymptotics for linear approximations of smooth functions of meansAndrea PalliniA higher-order version of the linear approximation of smooth functions of means proposed in Pallini (2002) is defined and studied. This version is shown to improve over the error of order Op(n -2) in probability, as the sample size n diverges, yielding a smaller error of order Op(n -3), as n diverges. Both linear approximations are shown to have a normal distribution, as diverges. Empirical results of a simulation study on the ratio of means example are presented.http://rivista-statistica.unibo.it/article/view/62
collection DOAJ
language English
format Article
sources DOAJ
author Andrea Pallini
spellingShingle Andrea Pallini
Asymptotics for linear approximations of smooth functions of means
Statistica
author_facet Andrea Pallini
author_sort Andrea Pallini
title Asymptotics for linear approximations of smooth functions of means
title_short Asymptotics for linear approximations of smooth functions of means
title_full Asymptotics for linear approximations of smooth functions of means
title_fullStr Asymptotics for linear approximations of smooth functions of means
title_full_unstemmed Asymptotics for linear approximations of smooth functions of means
title_sort asymptotics for linear approximations of smooth functions of means
publisher University of Bologna
series Statistica
issn 0390-590X
1973-2201
publishDate 2007-10-01
description A higher-order version of the linear approximation of smooth functions of means proposed in Pallini (2002) is defined and studied. This version is shown to improve over the error of order Op(n -2) in probability, as the sample size n diverges, yielding a smaller error of order Op(n -3), as n diverges. Both linear approximations are shown to have a normal distribution, as diverges. Empirical results of a simulation study on the ratio of means example are presented.
url http://rivista-statistica.unibo.it/article/view/62
work_keys_str_mv AT andreapallini asymptoticsforlinearapproximationsofsmoothfunctionsofmeans
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