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The\r\nprocedure eliminates envy by compensating envious players. It is fully descriptive\r\nand says explicitly which compensations should be made,and in what\r\norder. Moreover,it is simple enough to be carried out without computer support.\r\nWe formally characterize the properties of the procedure,show how it\r\nestablishes envy-freeness with minimal resources,and demonstrate its application\r\nto a wide class of fair-division problems."}],"publication":"Social Choice and Welfare","issue":"4","type":"journal_article","department":[{"_id":"205"},{"_id":"475"}],"file":[{"creator":"stela","date_created":"2018-11-07T12:09:41Z","relation":"main_file","date_updated":"2018-11-07T12:09:41Z","file_name":"Bidding_for_Envy_Freeness.pdf","access_level":"closed","file_size":199847,"file_id":"5412","success":1,"content_type":"application/pdf"}],"date_created":"2018-04-26T10:10:58Z","date_updated":"2022-01-06T06:56:42Z","intvolume":"        19","year":"2002","title":"Bidding for envy-freeness: A procedural approach to n-player fair-division problems","publication_identifier":{"issn":["0176-1714","1432-217X"]},"author":[{"id":"20801","full_name":"Haake, Claus-Jochen","first_name":"Claus-Jochen","last_name":"Haake"},{"full_name":"Raith, Matthias","last_name":"Raith","first_name":"Matthias"},{"last_name":"Su","first_name":"Francis Edward","full_name":"Su, Francis Edward"}],"language":[{"iso":"eng"}]},{"citation":{"ama":"Heiler S, Feng Y. Data-driven decomposition of seasonal time series. <i>Journal of Statistical Planning and Inference</i>. 2002;91(2):351-363. doi:<a href=\"https://doi.org/10.1016/s0378-3758(00)00187-7\">10.1016/s0378-3758(00)00187-7</a>","bibtex":"@article{Heiler_Feng_2002, title={Data-driven decomposition of seasonal time series}, volume={91}, DOI={<a href=\"https://doi.org/10.1016/s0378-3758(00)00187-7\">10.1016/s0378-3758(00)00187-7</a>}, number={2}, journal={Journal of Statistical Planning and Inference}, publisher={Elsevier BV}, author={Heiler, Siegfried and Feng, Yuanhua}, year={2002}, pages={351–363} }","mla":"Heiler, Siegfried, and Yuanhua Feng. “Data-Driven Decomposition of Seasonal Time Series.” <i>Journal of Statistical Planning and Inference</i>, vol. 91, no. 2, Elsevier BV, 2002, pp. 351–63, doi:<a href=\"https://doi.org/10.1016/s0378-3758(00)00187-7\">10.1016/s0378-3758(00)00187-7</a>.","short":"S. Heiler, Y. Feng, Journal of Statistical Planning and Inference 91 (2002) 351–363.","chicago":"Heiler, Siegfried, and Yuanhua Feng. “Data-Driven Decomposition of Seasonal Time Series.” <i>Journal of Statistical Planning and Inference</i> 91, no. 2 (2002): 351–63. <a href=\"https://doi.org/10.1016/s0378-3758(00)00187-7\">https://doi.org/10.1016/s0378-3758(00)00187-7</a>.","apa":"Heiler, S., &#38; Feng, Y. (2002). Data-driven decomposition of seasonal time series. <i>Journal of Statistical Planning and Inference</i>, <i>91</i>(2), 351–363. <a href=\"https://doi.org/10.1016/s0378-3758(00)00187-7\">https://doi.org/10.1016/s0378-3758(00)00187-7</a>","ieee":"S. Heiler and Y. Feng, “Data-driven decomposition of seasonal time series,” <i>Journal of Statistical Planning and Inference</i>, vol. 91, no. 2, pp. 351–363, 2002."},"publication":"Journal of Statistical Planning and Inference","issue":"2","date_created":"2018-10-11T07:07:28Z","department":[{"_id":"206"},{"_id":"475"}],"type":"journal_article","author":[{"first_name":"Siegfried","last_name":"Heiler","full_name":"Heiler, Siegfried"},{"id":"20760","full_name":"Feng, Yuanhua","last_name":"Feng","first_name":"Yuanhua"}],"publication_identifier":{"issn":["0378-3758"]},"year":"2002","title":"Data-driven decomposition of seasonal time series","status":"public","intvolume":"        91","date_updated":"2022-01-06T07:01:16Z","publication_status":"published","_id":"4637","publisher":"Elsevier BV","page":"351-363","volume":91,"doi":"10.1016/s0378-3758(00)00187-7","user_id":"10075"}]