{"publication":"Journal of Statistical Planning and Inference","issue":"2","citation":{"bibtex":"@article{Heiler_Feng_2002, title={Data-driven decomposition of seasonal time series}, volume={91}, DOI={10.1016/s0378-3758(00)00187-7}, number={2}, journal={Journal of Statistical Planning and Inference}, publisher={Elsevier BV}, author={Heiler, Siegfried and Feng, Yuanhua}, year={2002}, pages={351–363} }","ama":"Heiler S, Feng Y. Data-driven decomposition of seasonal time series. Journal of Statistical Planning and Inference. 2002;91(2):351-363. doi:10.1016/s0378-3758(00)00187-7","mla":"Heiler, Siegfried, and Yuanhua Feng. “Data-Driven Decomposition of Seasonal Time Series.” Journal of Statistical Planning and Inference, vol. 91, no. 2, Elsevier BV, 2002, pp. 351–63, doi:10.1016/s0378-3758(00)00187-7.","chicago":"Heiler, Siegfried, and Yuanhua Feng. “Data-Driven Decomposition of Seasonal Time Series.” Journal of Statistical Planning and Inference 91, no. 2 (2002): 351–63. https://doi.org/10.1016/s0378-3758(00)00187-7.","short":"S. Heiler, Y. Feng, Journal of Statistical Planning and Inference 91 (2002) 351–363.","ieee":"S. Heiler and Y. Feng, “Data-driven decomposition of seasonal time series,” Journal of Statistical Planning and Inference, vol. 91, no. 2, pp. 351–363, 2002.","apa":"Heiler, S., & Feng, Y. (2002). Data-driven decomposition of seasonal time series. Journal of Statistical Planning and Inference, 91(2), 351–363. https://doi.org/10.1016/s0378-3758(00)00187-7"},"type":"journal_article","department":[{"_id":"206"},{"_id":"475"}],"date_created":"2018-10-11T07:07:28Z","publication_status":"published","date_updated":"2022-01-06T07:01:16Z","intvolume":" 91","title":"Data-driven decomposition of seasonal time series","year":"2002","status":"public","publication_identifier":{"issn":["0378-3758"]},"author":[{"full_name":"Heiler, Siegfried","first_name":"Siegfried","last_name":"Heiler"},{"id":"20760","full_name":"Feng, Yuanhua","last_name":"Feng","first_name":"Yuanhua"}],"user_id":"10075","doi":"10.1016/s0378-3758(00)00187-7","volume":91,"page":"351-363","publisher":"Elsevier BV","_id":"4637"}