Semi-nonparametric approach for measured data reconciliation based on the Gram-Charlier series expansion

Semi-nonparametric approach for measured data reconciliation based on the Gram-Charlier series expansion

This paper discusses the applicability of data reconciliation approaches in metrology and mentions the existed shortcomings. The semi-parametric method based on Gram-Charlier series expansion is presented for overcoming the obstacles preventing the wider spread of the measured data reconciliation in...

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Bibliographic Details
Main Authors: Vladimir Garanin, Konstantin Semenov
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:Measurement: Sensors
Subjects:
Data reconciliation
Measurement error
Accuracy increase
Gram-Charlier series
Semi-nonparametric statistics
Online Access:http://www.sciencedirect.com/science/article/pii/S2665917421003147
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spelling doaj-e022c8c6125c43eb9d5a103ebe284a592021-10-09T04:41:30ZengElsevierMeasurement: Sensors2665-91742021-12-0118100351Semi-nonparametric approach for measured data reconciliation based on the Gram-Charlier series expansionVladimir Garanin0Konstantin Semenov1Corresponding author.; Peter the Great St.Petersburg Polytechnic University, St. Petersburg, RussiaCorresponding author.; Peter the Great St.Petersburg Polytechnic University, St. Petersburg, RussiaThis paper discusses the applicability of data reconciliation approaches in metrology and mentions the existed shortcomings. The semi-parametric method based on Gram-Charlier series expansion is presented for overcoming the obstacles preventing the wider spread of the measured data reconciliation in metrological practice. The proposed approach allows the fast estimation of potential accuracy increase that matters for adaptive measurement systems. The corresponded expressions and tests are presented.http://www.sciencedirect.com/science/article/pii/S2665917421003147Data reconciliationMeasurement errorAccuracy increaseGram-Charlier seriesSemi-nonparametric statistics
collection DOAJ
language English
format Article
sources DOAJ
author Vladimir Garanin
Konstantin Semenov
spellingShingle Vladimir Garanin
Konstantin Semenov
Semi-nonparametric approach for measured data reconciliation based on the Gram-Charlier series expansion
Measurement: Sensors
Data reconciliation
Measurement error
Accuracy increase
Gram-Charlier series
Semi-nonparametric statistics
author_facet Vladimir Garanin
Konstantin Semenov
author_sort Vladimir Garanin
title Semi-nonparametric approach for measured data reconciliation based on the Gram-Charlier series expansion
title_short Semi-nonparametric approach for measured data reconciliation based on the Gram-Charlier series expansion
title_full Semi-nonparametric approach for measured data reconciliation based on the Gram-Charlier series expansion
title_fullStr Semi-nonparametric approach for measured data reconciliation based on the Gram-Charlier series expansion
title_full_unstemmed Semi-nonparametric approach for measured data reconciliation based on the Gram-Charlier series expansion
title_sort semi-nonparametric approach for measured data reconciliation based on the gram-charlier series expansion
publisher Elsevier
series Measurement: Sensors
issn 2665-9174
publishDate 2021-12-01
description This paper discusses the applicability of data reconciliation approaches in metrology and mentions the existed shortcomings. The semi-parametric method based on Gram-Charlier series expansion is presented for overcoming the obstacles preventing the wider spread of the measured data reconciliation in metrological practice. The proposed approach allows the fast estimation of potential accuracy increase that matters for adaptive measurement systems. The corresponded expressions and tests are presented.
topic Data reconciliation
Measurement error
Accuracy increase
Gram-Charlier series
Semi-nonparametric statistics
url http://www.sciencedirect.com/science/article/pii/S2665917421003147
work_keys_str_mv AT vladimirgaranin seminonparametricapproachformeasureddatareconciliationbasedonthegramcharlierseriesexpansion
AT konstantinsemenov seminonparametricapproachformeasureddatareconciliationbasedonthegramcharlierseriesexpansion
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