ANALISIS DATA INFLASI INDONESIA MENGGUNAKAN MODEL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) DENGAN PENAMBAHAN OUTLIER

ANALISIS DATA INFLASI INDONESIA MENGGUNAKAN MODEL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) DENGAN PENAMBAHAN OUTLIER

The inflation data is one of the financial time series data which often has high volatility. It is caused by the presence of outliers in the data. Therefore, it is necessary to analyze forecasting that can make all the assumptions are fulled without having to ignore the presence of outliers. The aim...

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Bibliographic Details
Main Authors:	Suparti Suparti, Alfi Faridatus Sa'adah
Format:	Article
Language:	English
Published:	Universitas Diponegoro 2015-06-01
Series:	Media Statistika
Online Access:	https://ejournal.undip.ac.id/index.php/media_statistika/article/view/9198

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