TIME SERIES MODELING USING ARIMA WITHINTERVENTION AND OUTLIERS FACTOR
In general, the results of time series observations are influenced by the values at the previous time. However, in reality time series are often influenced by external events which can be defined as interventions or outliers. To identify the effect of the intervention on the time series, time ser...
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/82334 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |