[{"doi":"10.1080/02664763.2024.2424920","title":"Forecasting economic growth by combining local linear and standard approaches","author":[{"last_name":"Fritz","full_name":"Fritz, Marlon","first_name":"Marlon"},{"first_name":"Sarah","last_name":"Forstinger","full_name":"Forstinger, Sarah"},{"first_name":"Yuanhua","last_name":"Feng","full_name":"Feng, Yuanhua","id":"20760"},{"last_name":"Gries","id":"186","full_name":"Gries, Thomas","first_name":"Thomas"}],"date_created":"2025-06-03T10:33:51Z","volume":52,"date_updated":"2025-11-09T09:49:02Z","publisher":"Informa UK Limited","citation":{"ama":"Fritz M, Forstinger S, Feng Y, Gries T. 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>","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>.","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>.","short":"M. Fritz, S. Forstinger, Y. Feng, T. Gries, Journal of Applied Statistics 52 (2024) 1342–1360.","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} }","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>.","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>"},"intvolume":"        52","page":"1342-1360","year":"2024","issue":"7","publication_status":"published","publication_identifier":{"issn":["0266-4763","1360-0532"]},"language":[{"iso":"eng"}],"user_id":"186","department":[{"_id":"35"},{"_id":"200"},{"_id":"202"},{"_id":"475"}],"_id":"60118","status":"public","type":"journal_article","publication":"Journal of Applied Statistics"},{"year":"2012","intvolume":"        40","page":"266-281","citation":{"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>","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>.","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} }","short":"Y. Feng, Journal of Applied Statistics 40 (2012) 266–281.","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>","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.","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>."},"publication_identifier":{"issn":["0266-4763","1360-0532"]},"publication_status":"published","issue":"2","title":"An iterative plug-in algorithm for decomposing seasonal time series using the Berlin Method","doi":"10.1080/02664763.2012.740626","date_updated":"2022-01-06T07:01:14Z","publisher":"Informa UK Limited","volume":40,"date_created":"2018-10-10T09:52:22Z","author":[{"last_name":"Feng","full_name":"Feng, Yuanhua","id":"20760","first_name":"Yuanhua"}],"status":"public","publication":"Journal of Applied Statistics","type":"journal_article","language":[{"iso":"eng"}],"_id":"4597","department":[{"_id":"206"}],"user_id":"10075"}]