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Forecasting economic growth by combining local linear and standard approaches. <i>Journal of Applied Statistics</i>. 2024;52(7):1342-1360. doi:<a href=\"https://doi.org/10.1080/02664763.2024.2424920\">10.1080/02664763.2024.2424920</a>","chicago":"Fritz, Marlon, Sarah Forstinger, Yuanhua Feng, and Thomas Gries. “Forecasting Economic Growth by Combining Local Linear and Standard Approaches.” <i>Journal of Applied Statistics</i> 52, no. 7 (2024): 1342–60. <a href=\"https://doi.org/10.1080/02664763.2024.2424920\">https://doi.org/10.1080/02664763.2024.2424920</a>.","bibtex":"@article{Fritz_Forstinger_Feng_Gries_2024, title={Forecasting economic growth by combining local linear and standard approaches}, volume={52}, DOI={<a href=\"https://doi.org/10.1080/02664763.2024.2424920\">10.1080/02664763.2024.2424920</a>}, number={7}, journal={Journal of Applied Statistics}, publisher={Informa UK Limited}, author={Fritz, Marlon and Forstinger, Sarah and Feng, Yuanhua and Gries, Thomas}, year={2024}, pages={1342–1360} }","apa":"Fritz, M., Forstinger, S., Feng, Y., &#38; Gries, T. (2024). Forecasting economic growth by combining local linear and standard approaches. <i>Journal of Applied Statistics</i>, <i>52</i>(7), 1342–1360. <a href=\"https://doi.org/10.1080/02664763.2024.2424920\">https://doi.org/10.1080/02664763.2024.2424920</a>","mla":"Fritz, Marlon, et al. “Forecasting Economic Growth by Combining Local Linear and Standard Approaches.” <i>Journal of Applied Statistics</i>, vol. 52, no. 7, Informa UK Limited, 2024, pp. 1342–60, doi:<a href=\"https://doi.org/10.1080/02664763.2024.2424920\">10.1080/02664763.2024.2424920</a>.","ieee":"M. Fritz, S. Forstinger, Y. Feng, and T. Gries, “Forecasting economic growth by combining local linear and standard approaches,” <i>Journal of Applied Statistics</i>, vol. 52, no. 7, pp. 1342–1360, 2024, doi: <a href=\"https://doi.org/10.1080/02664763.2024.2424920\">10.1080/02664763.2024.2424920</a>."},"status":"public","page":"1342-1360","_id":"60118","publisher":"Informa UK Limited","user_id":"186","volume":52,"issue":"7","publication":"Journal of Applied Statistics","date_created":"2025-06-03T10:33:51Z","type":"journal_article","department":[{"_id":"35"},{"_id":"200"},{"_id":"202"},{"_id":"475"}],"title":"Forecasting economic growth by combining local linear and standard approaches","year":"2024","author":[{"full_name":"Fritz, Marlon","first_name":"Marlon","last_name":"Fritz"},{"full_name":"Forstinger, Sarah","first_name":"Sarah","last_name":"Forstinger"},{"full_name":"Feng, Yuanhua","first_name":"Yuanhua","last_name":"Feng","id":"20760"},{"full_name":"Gries, Thomas","first_name":"Thomas","last_name":"Gries","id":"186"}],"publication_identifier":{"issn":["0266-4763","1360-0532"]},"publication_status":"published","date_updated":"2025-11-09T09:49:02Z","intvolume":"        52","language":[{"iso":"eng"}],"doi":"10.1080/02664763.2024.2424920"},{"volume":40,"user_id":"10075","_id":"4597","publisher":"Informa UK Limited","page":"266-281","status":"public","citation":{"short":"Y. Feng, Journal of Applied Statistics 40 (2012) 266–281.","chicago":"Feng, Yuanhua. “An Iterative Plug-in Algorithm for Decomposing Seasonal Time Series Using the Berlin Method.” <i>Journal of Applied Statistics</i> 40, no. 2 (2012): 266–81. <a href=\"https://doi.org/10.1080/02664763.2012.740626\">https://doi.org/10.1080/02664763.2012.740626</a>.","apa":"Feng, Y. (2012). An iterative plug-in algorithm for decomposing seasonal time series using the Berlin Method. <i>Journal of Applied Statistics</i>, <i>40</i>(2), 266–281. <a href=\"https://doi.org/10.1080/02664763.2012.740626\">https://doi.org/10.1080/02664763.2012.740626</a>","ieee":"Y. Feng, “An iterative plug-in algorithm for decomposing seasonal time series using the Berlin Method,” <i>Journal of Applied Statistics</i>, vol. 40, no. 2, pp. 266–281, 2012.","ama":"Feng Y. An iterative plug-in algorithm for decomposing seasonal time series using the Berlin Method. <i>Journal of Applied Statistics</i>. 2012;40(2):266-281. doi:<a href=\"https://doi.org/10.1080/02664763.2012.740626\">10.1080/02664763.2012.740626</a>","bibtex":"@article{Feng_2012, title={An iterative plug-in algorithm for decomposing seasonal time series using the Berlin Method}, volume={40}, DOI={<a href=\"https://doi.org/10.1080/02664763.2012.740626\">10.1080/02664763.2012.740626</a>}, number={2}, journal={Journal of Applied Statistics}, publisher={Informa UK Limited}, author={Feng, Yuanhua}, year={2012}, pages={266–281} }","mla":"Feng, Yuanhua. “An Iterative Plug-in Algorithm for Decomposing Seasonal Time Series Using the Berlin Method.” <i>Journal of Applied Statistics</i>, vol. 40, no. 2, Informa UK Limited, 2012, pp. 266–81, doi:<a href=\"https://doi.org/10.1080/02664763.2012.740626\">10.1080/02664763.2012.740626</a>."},"doi":"10.1080/02664763.2012.740626","language":[{"iso":"eng"}],"intvolume":"        40","publication_status":"published","date_updated":"2022-01-06T07:01:14Z","publication_identifier":{"issn":["0266-4763","1360-0532"]},"author":[{"id":"20760","full_name":"Feng, Yuanhua","first_name":"Yuanhua","last_name":"Feng"}],"year":"2012","title":"An iterative plug-in algorithm for decomposing seasonal time series using the Berlin Method","department":[{"_id":"206"}],"type":"journal_article","date_created":"2018-10-10T09:52:22Z","issue":"2","publication":"Journal of Applied Statistics"}]