{"citation":{"chicago":"Beran, Jan, Yuanhua Feng, and Sucharita Ghosh. “Modelling Long-Range Dependence and Trends in Duration Series: An Approach Based on EFARIMA and ESEMIFAR Models.” <i>Statistical Papers</i> 56, no. 2 (2014): 431–51. <a href=\"https://doi.org/10.1007/s00362-014-0590-x\">https://doi.org/10.1007/s00362-014-0590-x</a>.","short":"J. Beran, Y. Feng, S. Ghosh, Statistical Papers 56 (2014) 431–451.","bibtex":"@article{Beran_Feng_Ghosh_2014, title={Modelling long-range dependence and trends in duration series: an approach based on EFARIMA and ESEMIFAR models}, volume={56}, DOI={<a href=\"https://doi.org/10.1007/s00362-014-0590-x\">10.1007/s00362-014-0590-x</a>}, number={2}, journal={Statistical Papers}, publisher={Springer Nature}, author={Beran, Jan and Feng, Yuanhua and Ghosh, Sucharita}, year={2014}, pages={431–451} }","apa":"Beran, J., Feng, Y., &#38; Ghosh, S. (2014). Modelling long-range dependence and trends in duration series: an approach based on EFARIMA and ESEMIFAR models. <i>Statistical Papers</i>, <i>56</i>(2), 431–451. <a href=\"https://doi.org/10.1007/s00362-014-0590-x\">https://doi.org/10.1007/s00362-014-0590-x</a>","ieee":"J. Beran, Y. Feng, and S. Ghosh, “Modelling long-range dependence and trends in duration series: an approach based on EFARIMA and ESEMIFAR models,” <i>Statistical Papers</i>, vol. 56, no. 2, pp. 431–451, 2014.","mla":"Beran, Jan, et al. “Modelling Long-Range Dependence and Trends in Duration Series: An Approach Based on EFARIMA and ESEMIFAR Models.” <i>Statistical Papers</i>, vol. 56, no. 2, Springer Nature, 2014, pp. 431–51, doi:<a href=\"https://doi.org/10.1007/s00362-014-0590-x\">10.1007/s00362-014-0590-x</a>.","ama":"Beran J, Feng Y, Ghosh S. Modelling long-range dependence and trends in duration series: an approach based on EFARIMA and ESEMIFAR models. <i>Statistical Papers</i>. 2014;56(2):431-451. doi:<a href=\"https://doi.org/10.1007/s00362-014-0590-x\">10.1007/s00362-014-0590-x</a>"},"user_id":"10075","publication_identifier":{"issn":["0932-5026","1613-9798"]},"department":[{"_id":"206"}],"_id":"4599","title":"Modelling long-range dependence and trends in duration series: an approach based on EFARIMA and ESEMIFAR models","volume":56,"publisher":"Springer Nature","author":[{"full_name":"Beran, Jan","last_name":"Beran","first_name":"Jan"},{"id":"20760","last_name":"Feng","full_name":"Feng, Yuanhua","first_name":"Yuanhua"},{"full_name":"Ghosh, Sucharita","last_name":"Ghosh","first_name":"Sucharita"}],"intvolume":"        56","status":"public","year":"2014","publication":"Statistical Papers","type":"journal_article","date_updated":"2022-01-06T07:01:14Z","language":[{"iso":"eng"}],"date_created":"2018-10-10T09:55:25Z","page":"431-451","doi":"10.1007/s00362-014-0590-x","issue":"2","publication_status":"published"}