Comparison of auto regressive integrated moving average and artificial neural networks forecasting in mortality of breast cancer
Background & Aim: One of the common used models in time series is auto regressive integrated moving average (ARIMA) model. ARIMA will do modeling only linearly. Artificial neural networks (ANN) are modern methods that be used for time series forecasting. These models can identify non-...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Tehran University of Medical Sciences
2015-10-01
|
| Series: | Journal of Biostatistics and Epidemiology |
| Subjects: | |
| Online Access: | https://jbe.tums.ac.ir/index.php/jbe/article/view/3 |