SeasCen, A Python-Based Platform for Time Series Modeling and Seasonal Adjustment
Whereas X-13ARIMA-SEATS (X-13) is widely used around the world to seasonally adjust economic time series, its continued longevity is jeopardized by the ongoing difficulty of maintaining its FORTRAN codebase. The FORTRAN language is no longer the platform of choice for new statistical software develo...
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| Main Authors: | Sara Alaoui, William Bell, Dan Haim, Demetra Lytras, Anup Mathur, Kathleen McDonald-Johnson, Tucker McElroy, Lijing Sun |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | Data Science in Science |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/26941899.2025.2531047 |
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