CONTROL CHART AS VERIFICATION TOOLS IN TIME SERIES MODEL

Control charts are generally use in quality control processes, especially in the industrial sector, because they are helpful to increase productivity. However, control charts can also be used in time series analysis. The residuals from the time series model are used as observations in constructing t...

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Main Authors: Nurfitri Imro'ah, Nur'ainul Miftahul Huda
Format: Article
Language:English
Published: Universitas Pattimura 2022-09-01
Series:Barekeng
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Online Access:https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/6228
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author Nurfitri Imro'ah
Nur'ainul Miftahul Huda
author_facet Nurfitri Imro'ah
Nur'ainul Miftahul Huda
author_sort Nurfitri Imro'ah
collection DOAJ
description Control charts are generally use in quality control processes, especially in the industrial sector, because they are helpful to increase productivity. However, control charts can also be used in time series analysis. The residuals from the time series model are used as observations in constructing the control chart. Because there is only one variable observed, namely the residual, the control chart used is the Individual Moving Range (IMR). This study analysis the accuracy of the time series model using the IMR control chart in two models, namely the Autoregressive Distributed Lag (ADL) model without outliers and the ADL model with outliers. The results showed that the control chart could be used to measure the accuracy of the time series model. The accuracy of the model can be seen from the statistically controlled residual (in control).
format Article
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institution Kabale University
issn 1978-7227
2615-3017
language English
publishDate 2022-09-01
publisher Universitas Pattimura
record_format Article
series Barekeng
spelling doaj-art-affd8f3f1ec3455b982575a15fb62a262025-08-20T04:01:48ZengUniversitas PattimuraBarekeng1978-72272615-30172022-09-01163995100210.30598/barekengvol16iss3pp995-10026228CONTROL CHART AS VERIFICATION TOOLS IN TIME SERIES MODELNurfitri Imro'ah0Nur'ainul Miftahul Huda1Statistics Department, FMIPA, Universitas TanjungpuraMathematics Department, FMIPA, Universitas TanjungpuraControl charts are generally use in quality control processes, especially in the industrial sector, because they are helpful to increase productivity. However, control charts can also be used in time series analysis. The residuals from the time series model are used as observations in constructing the control chart. Because there is only one variable observed, namely the residual, the control chart used is the Individual Moving Range (IMR). This study analysis the accuracy of the time series model using the IMR control chart in two models, namely the Autoregressive Distributed Lag (ADL) model without outliers and the ADL model with outliers. The results showed that the control chart could be used to measure the accuracy of the time series model. The accuracy of the model can be seen from the statistically controlled residual (in control).https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/6228individual moving rangeautoregressive distributed lagresidual
spellingShingle Nurfitri Imro'ah
Nur'ainul Miftahul Huda
CONTROL CHART AS VERIFICATION TOOLS IN TIME SERIES MODEL
Barekeng
individual moving range
autoregressive distributed lag
residual
title CONTROL CHART AS VERIFICATION TOOLS IN TIME SERIES MODEL
title_full CONTROL CHART AS VERIFICATION TOOLS IN TIME SERIES MODEL
title_fullStr CONTROL CHART AS VERIFICATION TOOLS IN TIME SERIES MODEL
title_full_unstemmed CONTROL CHART AS VERIFICATION TOOLS IN TIME SERIES MODEL
title_short CONTROL CHART AS VERIFICATION TOOLS IN TIME SERIES MODEL
title_sort control chart as verification tools in time series model
topic individual moving range
autoregressive distributed lag
residual
url https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/6228
work_keys_str_mv AT nurfitriimroah controlchartasverificationtoolsintimeseriesmodel
AT nurainulmiftahulhuda controlchartasverificationtoolsintimeseriesmodel