Deteksi Pencilan pada Model ARIMA dengan Bayesian Information Criterion (BIC) Termodifikasi
Time series data may be affected by special events or circumstances such as promotions, natural disasters, etc. These events can lead to inconsistent observations in the series called outliers. Because outliers can make invalid conclusions, it is important to carry out procedures in detecting outlie...
| Main Authors: | , |
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| Format: | Article |
| Language: | Indonesian |
| Published: |
Universitas Islam Bandung
2019-06-01
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| Series: | Statistika |
| Online Access: | https://ejournal.unisba.ac.id/index.php/statistika/article/view/4740 |