A functional analysis of NOx levels: location and scale estimation and outlier detection
type: Item
instance of: scholarly article
title: A functional analysis of NOx levels: location and scale estimation and outlier detection
zbMATH Open document ID: 1197.62154
author: M. Febrero
author: Pedro Galeano
author: Wenceslao Gonzáles-Manteiga
published in: Computational Statistics
publication date: 2010-04-22T00:00:00Z
review text: Functional data analysis (FDA) is applied to nitrogen oxides (NOx) levels measured every hour around an industrial area in a neighborhood of Barcelona. 127 curves corresponding to different days of observation are given. Functional ANOVA is used to test differences between working and non-working days. The functional mean, trimmed mean, median and mode are considered as location estimates. Bootstrap confidence regions are built for them. Scale estimates and outlier detection procedures are also considered.
Mathematics Subject Classification ID: 62P12
Mathematics Subject Classification ID: 62J10
Mathematics Subject Classification ID: 62F25
zbMATH DE Number: 5697298
zbMATH Keywords: functional ANOVA
zbMATH Keywords: bootstrap confidence regions
describes a project that uses: fda (R)
MaRDI profile type: Publication
full work available at URL: s00180-007-0048-x
OpenAlex ID: W1982232296
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DOI: 10.1007/S00180-007-0048-X
description: scientific article; zbMATH DE number 5697298