{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T05:13:04Z","timestamp":1743052384878,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030625085"},{"type":"electronic","value":"9783030625092"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-62509-2_14","type":"book-chapter","created":{"date-parts":[[2020,11,2]],"date-time":"2020-11-02T00:03:00Z","timestamp":1604275380000},"page":"162-173","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Rank Estimators for Robust Regression: Approximate Algorithms, Exact Algorithms and Two-Stage Methods"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3261-9524","authenticated-orcid":false,"given":"Michal","family":"\u010cern\u00fd","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1761-897X","authenticated-orcid":false,"given":"Miroslav","family":"Rada","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7619-9066","authenticated-orcid":false,"given":"Ond\u0159ej","family":"Sokol","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,11,2]]},"reference":[{"key":"14_CR1","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1007\/978-3-642-57338-5_3","volume-title":"Developments in Robust Statistics","author":"J Antoch","year":"2003","unstructured":"Antoch, J., Ekblom, H.: Selected algorithms for robust M- and L-regression estimators. In: Dutter, R., Filzmoser, P., Gather, U., Rousseeuw, P.J. (eds.) Developments in Robust Statistics, pp. 32\u201349. Physica-Verlag, Heidelberg (2003). https:\/\/doi.org\/10.1007\/978-3-642-57338-5_3"},{"issue":"2","key":"14_CR2","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1016\/0167-9473(93)E0050-E","volume":"19","author":"J Antoch","year":"1995","unstructured":"Antoch, J., Ekblom, H.: Recursive robust regression computational aspects and comparison. Comput. Stat. Data Anal. 19(2), 115\u2013128 (1995). https:\/\/doi.org\/10.1016\/0167-9473(93)E0050-E","journal-title":"Comput. Stat. Data Anal."},{"issue":"5","key":"14_CR3","doi-asserted-by":"publisher","first-page":"1115","DOI":"10.1007\/s10463-017-0618-9","volume":"70","author":"HF Bindele","year":"2017","unstructured":"Bindele, H.F., Abebe, A., Meyer, K.N.: General rank-based estimation for regression single index models. Ann. Inst. Stat. Math. 70(5), 1115\u20131146 (2017). https:\/\/doi.org\/10.1007\/s10463-017-0618-9","journal-title":"Ann. Inst. Stat. Math."},{"unstructured":"\u010cern\u00fd, M., Hlad\u00edk, M., Rada, M.: Walks on hyperplane arrangements and optimization of piecewise linear functions. arXiv:1912.12750 [math], December 2019","key":"14_CR4"},{"doi-asserted-by":"crossref","unstructured":"\u010cern\u00fd, M., Rada, M., Antoch, J., Hlad\u00edk, M.: A class of optimization problems motivated by rank estimators in robust regression. arXiv:1910.05826 [math], October 2019","key":"14_CR5","DOI":"10.1080\/02331934.2020.1812604"},{"issue":"30","key":"14_CR6","doi-asserted-by":"publisher","first-page":"4807","DOI":"10.1002\/sim.7979","volume":"37","author":"S Dutta","year":"2018","unstructured":"Dutta, S., Datta, S.: Rank-based inference for covariate and group effects in clustered data in presence of informative intra-cluster group size. Stat. Med. 37(30), 4807\u20134822 (2018)","journal-title":"Stat. Med."},{"key":"14_CR7","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780195085914.001.0001","volume-title":"Limits to Parallel Computation: P-Completeness Theory","author":"R Greenlaw","year":"1995","unstructured":"Greenlaw, R., Hoover, J.H., Ruzzo, W.L.: Limits to Parallel Computation: P-Completeness Theory. Oxford University Press, New York (1995)"},{"key":"14_CR8","series-title":"Algorithms and Combinatorics","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-78240-4","volume-title":"Geometric Algorithms and Combinatorial Optimization","author":"M Gr\u00f6tschel","year":"1993","unstructured":"Gr\u00f6tschel, M., Lov\u00e1sz, L., Schrijver, A.: Geometric Algorithms and Combinatorial Optimization. AC, vol. 2. Springer, Heidelberg (1993). https:\/\/doi.org\/10.1007\/978-3-642-78240-4"},{"doi-asserted-by":"publisher","unstructured":"Hettmansperger, T., McKean, J.: Robust Nonparametric Statistical Methods, 2nd edn. CRC Press (2010). https:\/\/doi.org\/10.1201\/b10451","key":"14_CR9","DOI":"10.1201\/b10451"},{"issue":"3","key":"14_CR10","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1080\/00401706.1977.10489549","volume":"19","author":"TP Hettmansperger","year":"1977","unstructured":"Hettmansperger, T.P., McKean, J.W.: A robust alternative based on ranks to least squares in analysing linear models. Technometrics 19(3), 275\u2013284 (1977)","journal-title":"Technometrics"},{"key":"14_CR11","doi-asserted-by":"publisher","first-page":"1449","DOI":"10.1214\/aoms\/1177692377","volume":"43","author":"LA Jaeckel","year":"1972","unstructured":"Jaeckel, L.A.: Estimating regression coefficients by minimizing the dispersion of the residuals. Ann. Math. Stat. 43, 1449\u20131458 (1972)","journal-title":"Ann. Math. Stat."},{"key":"14_CR12","doi-asserted-by":"publisher","first-page":"1328","DOI":"10.1214\/aoms\/1177693245","volume":"42","author":"J Jure\u010dkov\u00e1","year":"1971","unstructured":"Jure\u010dkov\u00e1, J.: Nonparametric estimate of regression coefficients. Ann. Math. Stat. 42, 1328\u20131338 (1971)","journal-title":"Ann. Math. Stat."},{"issue":"2","key":"14_CR13","doi-asserted-by":"publisher","first-page":"57","DOI":"10.32614\/RJ-2012-014","volume":"4","author":"JD Kloke","year":"2012","unstructured":"Kloke, J.D., McKean, J.W.: Rfit: rank-based estimation for linear models. R J. 4(2), 57 (2012). https:\/\/doi.org\/10.32614\/RJ-2012-014","journal-title":"R J."},{"issue":"3","key":"14_CR14","doi-asserted-by":"publisher","first-page":"466","DOI":"10.1137\/0611032","volume":"11","author":"DP O\u2019Leary","year":"1990","unstructured":"O\u2019Leary, D.P.: Robust regression computation using iteratively reweighted least squares. SIAM J. Matrix Anal. Appl. 11(3), 466\u2013480 (1990). https:\/\/doi.org\/10.1137\/0611032","journal-title":"SIAM J. Matrix Anal. Appl."},{"issue":"A","key":"14_CR15","doi-asserted-by":"publisher","first-page":"241","DOI":"10.2307\/3213564","volume":"19","author":"MR Osborne","year":"1982","unstructured":"Osborne, M.R.: A finite algorithm for the rank regression problem. J. Appl. Probab. 19(A), 241\u2013252 (1982). https:\/\/doi.org\/10.2307\/3213564","journal-title":"J. Appl. Probab."},{"key":"14_CR16","doi-asserted-by":"publisher","DOI":"10.1007\/b100325","volume-title":"Interior Point Methods for Linear Optimization","author":"C Roos","year":"2005","unstructured":"Roos, C., Terlaky, T., Vial, J.P.: Interior Point Methods for Linear Optimization. Springer, Boston (2005). https:\/\/doi.org\/10.1007\/b100325"},{"key":"14_CR17","volume-title":"Theory of Linear and Integer Programming","author":"A Schrijver","year":"2000","unstructured":"Schrijver, A.: Theory of Linear and Integer Programming. Wiley, New York (2000)"},{"issue":"5","key":"14_CR18","doi-asserted-by":"publisher","first-page":"907","DOI":"10.1137\/0909062","volume":"9","author":"R Wolke","year":"1988","unstructured":"Wolke, R., Schwetlick, H.: Iteratively reweighted least squares: algorithms, convergence analysis, and numerical comparisons. SIAM J. Sci. Stat. Comput. 9(5), 907\u2013921 (1988). https:\/\/doi.org\/10.1137\/0909062","journal-title":"SIAM J. Sci. Stat. Comput."},{"issue":"3","key":"14_CR19","doi-asserted-by":"publisher","first-page":"506","DOI":"10.1007\/BF02074884","volume":"32","author":"R Wolke","year":"1992","unstructured":"Wolke, R.: Iteratively reweighted least squares: a comparison of several single step algorithms for linear models. BIT Numer. Math. 32(3), 506\u2013524 (1992). https:\/\/doi.org\/10.1007\/BF02074884","journal-title":"BIT Numer. Math."}],"container-title":["Lecture Notes in Computer Science","Integrated Uncertainty in Knowledge Modelling and Decision Making"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-62509-2_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,24]],"date-time":"2021-04-24T23:10:38Z","timestamp":1619305838000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-62509-2_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030625085","9783030625092"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-62509-2_14","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"2 November 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IUKM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Phuket","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Thailand","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 November 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 November 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iukm2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.jaist.ac.jp\/IUKM\/IUKM2020\/index.php","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"http:\/\/easychair.org","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"55","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"35","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"64% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.24","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference was held virtually due to the COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}