PENDETEKSIAN DAN PENGOREKSIAN DATA YANG MENGANDUNG ADDITIVE OUTLIER (AO) PADA MODEL ARIMA(p,d,q)

In this thesis discussed on the detection and correction of data containing the additive outlier (AO) on the model ARIMA (p, d, q). The process of detection and correction of data using an iterative procedure popularized by Box, Jenkins, and Reinsel (1994). By using this method we obtained an ARIMA...

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Main Authors: , Ansari Saleh Ahmar, , Prof. Drs. Suryo Guritno, M.Stats., Ph.D
Format: Thesis
Published: [Yogyakarta] : Universitas Gadjah Mada 2013
Subjects:
ETD
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author , Ansari Saleh Ahmar
, Prof. Drs. Suryo Guritno, M.Stats., Ph.D
author_facet , Ansari Saleh Ahmar
, Prof. Drs. Suryo Guritno, M.Stats., Ph.D
author_sort , Ansari Saleh Ahmar
collection UGM
description In this thesis discussed on the detection and correction of data containing the additive outlier (AO) on the model ARIMA (p, d, q). The process of detection and correction of data using an iterative procedure popularized by Box, Jenkins, and Reinsel (1994). By using this method we obtained an ARIMA models were fit to the data containing AO, this model is added to the original model of ARIMA coefficients obtained from the iteration process using regression methods. In the simulation data is obtained that the data contained AO initial models are ARIMA (2,0,0) 1 2 0,0600 0,209 0, 417 t t t Z Z Z � � � � � with MSE = 36,780, after the detection and correction of data obtained by the iteration of the model ARIMA (2,0,0) with the coefficients obtained from the regression � � � � � � 1 2 1 2 3 0,106 0,204 0,401 329 115 35,9 t t t Z Z Z X t X t X t � � � � � � � � and MSE = 19,365. This shows that there is an improvement of forecasting error rate data.
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spelling oai:generic.eprints.org:1192472016-03-04T08:26:42Z https://repository.ugm.ac.id/119247/ PENDETEKSIAN DAN PENGOREKSIAN DATA YANG MENGANDUNG ADDITIVE OUTLIER (AO) PADA MODEL ARIMA(p,d,q) , Ansari Saleh Ahmar , Prof. Drs. Suryo Guritno, M.Stats., Ph.D ETD In this thesis discussed on the detection and correction of data containing the additive outlier (AO) on the model ARIMA (p, d, q). The process of detection and correction of data using an iterative procedure popularized by Box, Jenkins, and Reinsel (1994). By using this method we obtained an ARIMA models were fit to the data containing AO, this model is added to the original model of ARIMA coefficients obtained from the iteration process using regression methods. In the simulation data is obtained that the data contained AO initial models are ARIMA (2,0,0) 1 2 0,0600 0,209 0, 417 t t t Z Z Z � � � � � with MSE = 36,780, after the detection and correction of data obtained by the iteration of the model ARIMA (2,0,0) with the coefficients obtained from the regression � � � � � � 1 2 1 2 3 0,106 0,204 0,401 329 115 35,9 t t t Z Z Z X t X t X t � � � � � � � � and MSE = 19,365. This shows that there is an improvement of forecasting error rate data. [Yogyakarta] : Universitas Gadjah Mada 2013 Thesis NonPeerReviewed , Ansari Saleh Ahmar and , Prof. Drs. Suryo Guritno, M.Stats., Ph.D (2013) PENDETEKSIAN DAN PENGOREKSIAN DATA YANG MENGANDUNG ADDITIVE OUTLIER (AO) PADA MODEL ARIMA(p,d,q). UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=59242
spellingShingle ETD
, Ansari Saleh Ahmar
, Prof. Drs. Suryo Guritno, M.Stats., Ph.D
PENDETEKSIAN DAN PENGOREKSIAN DATA YANG MENGANDUNG ADDITIVE OUTLIER (AO) PADA MODEL ARIMA(p,d,q)
title PENDETEKSIAN DAN PENGOREKSIAN DATA YANG MENGANDUNG ADDITIVE OUTLIER (AO) PADA MODEL ARIMA(p,d,q)
title_full PENDETEKSIAN DAN PENGOREKSIAN DATA YANG MENGANDUNG ADDITIVE OUTLIER (AO) PADA MODEL ARIMA(p,d,q)
title_fullStr PENDETEKSIAN DAN PENGOREKSIAN DATA YANG MENGANDUNG ADDITIVE OUTLIER (AO) PADA MODEL ARIMA(p,d,q)
title_full_unstemmed PENDETEKSIAN DAN PENGOREKSIAN DATA YANG MENGANDUNG ADDITIVE OUTLIER (AO) PADA MODEL ARIMA(p,d,q)
title_short PENDETEKSIAN DAN PENGOREKSIAN DATA YANG MENGANDUNG ADDITIVE OUTLIER (AO) PADA MODEL ARIMA(p,d,q)
title_sort pendeteksian dan pengoreksian data yang mengandung additive outlier ao pada model arima p d q
topic ETD
work_keys_str_mv AT ansarisalehahmar pendeteksiandanpengoreksiandatayangmengandungadditiveoutlieraopadamodelarimapdq
AT profdrssuryoguritnomstatsphd pendeteksiandanpengoreksiandatayangmengandungadditiveoutlieraopadamodelarimapdq