{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T00:18:23Z","timestamp":1767140303245,"version":"build-2238731810"},"reference-count":7,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2018,1,12]],"date-time":"2018-01-12T00:00:00Z","timestamp":1515715200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2018,1,12]],"date-time":"2018-01-12T00:00:00Z","timestamp":1515715200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Stat Methods Appl"],"published-print":{"date-parts":[[2018,12,4]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>We contribute to the discussion of an article where Andrea Cerioli, Marco Riani, Anthony Atkinson and Aldo Corbellini review the advantages of analyzing multivariate data by monitoring how the estimated model parameters change as the estimation parameters vary. The focus is on robust methods and their sensitivity to the nominal efficiency and breakdown point. In congratulating with the authors for the clear and stimulating exposition, we contribute to its discussion with an overview of what we experienced in applying the monitoring in our application domain.<\/jats:p>","DOI":"10.1007\/s10260-017-0420-0","type":"journal-article","created":{"date-parts":[[2018,1,12]],"date-time":"2018-01-12T15:48:47Z","timestamp":1515772127000},"page":"641-649","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Discussion of \u201cThe power of monitoring: how to make the most of a contaminated multivariate sample\u201d"],"prefix":"10.1007","volume":"27","author":[{"given":"Domenico","family":"Perrotta","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Francesca","family":"Torti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,1,12]]},"reference":[{"key":"420_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-1160-0","volume-title":"Robust diagnostic regression analysis","author":"CA Atkinson","year":"2000","unstructured":"Atkinson CA, Riani M (2000) Robust diagnostic regression analysis. Springer, Berlin. https:\/\/doi.org\/10.1007\/978-1-4612-1160-0"},{"key":"420_CR2","doi-asserted-by":"crossref","unstructured":"Cerioli A, Perrotta D (2014) Robust clustering around regression lines with high density regions. Adv Data Anal Classif 8(1):5\u201326. ISSN 1862-5355","DOI":"10.1007\/s11634-013-0151-5"},{"key":"420_CR3","doi-asserted-by":"crossref","unstructured":"Cerioli A, Riani M, Atkinson AC, Corbellini A (2018) The power of monitoring: how to make the most of a contaminated multivariate sample. Stat Methods Appl (1). In press","DOI":"10.1007\/s10260-018-00436-8"},{"key":"420_CR4","first-page":"37","volume-title":"Issues on clustering and data gridding","author":"J Heikkonen","year":"2013","unstructured":"Heikkonen J, Perrotta D, Riani M, Torti F (2013) Issues on clustering and data gridding. Springer, Berlin, pp 37\u201344"},{"issue":"Supplement C","key":"420_CR5","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1016\/j.chemolab.2012.03.017","volume":"116","author":"M Riani","year":"2012","unstructured":"Riani M, Perrotta D, Torti F (2012) FSDA: a MATLAB toolbox for robust analysis and interactive data exploration. Chemom Intell Lab Syst 116(Supplement C):17\u201332","journal-title":"Chemom Intell Lab Syst"},{"issue":"1","key":"420_CR6","doi-asserted-by":"publisher","first-page":"646","DOI":"10.1214\/14-EJS897","volume":"8","author":"M Riani","year":"2014","unstructured":"Riani M, Cerioli A, Atkinson AC, Perrotta D (2014) Monitoring robust regression. Electron J Stat 8(1):646\u2013677. https:\/\/doi.org\/10.1214\/14-EJS897","journal-title":"Electron J Stat"},{"issue":"1","key":"420_CR7","first-page":"1","volume":"67","author":"M Riani","year":"2015","unstructured":"Riani M, Perrotta D, Cerioli A (2015) The forward search for very large datasets. J Stat Softw Code Snippets 67(1):1\u201320","journal-title":"J Stat Softw Code Snippets"}],"updated-by":[{"DOI":"10.1007\/s10260-019-00502-9","type":"correction","label":"Correction","source":"publisher","updated":{"date-parts":[[2019,11,29]],"date-time":"2019-11-29T00:00:00Z","timestamp":1574985600000}}],"container-title":["Statistical Methods &amp; Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10260-017-0420-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10260-017-0420-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10260-017-0420-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,25]],"date-time":"2020-10-25T11:34:19Z","timestamp":1603625659000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10260-017-0420-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,1,12]]},"references-count":7,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2018,12,4]]}},"alternative-id":["420"],"URL":"https:\/\/doi.org\/10.1007\/s10260-017-0420-0","relation":{},"ISSN":["1618-2510","1613-981X"],"issn-type":[{"value":"1618-2510","type":"print"},{"value":"1613-981X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,1,12]]},"assertion":[{"value":"24 December 2017","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 January 2018","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 November 2019","order":3,"name":"change_date","label":"Change Date","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Correction","order":4,"name":"change_type","label":"Change Type","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The articles listed above were initially published with incorrect copyright information or changed later to incorrect copyright information.","order":5,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 November 2019","order":4,"name":"change_date","label":"Change Date","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Correction","order":4,"name":"change_type","label":"Change Type","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The articles listed above were initially published with incorrect copyright information or changed later to incorrect copyright information.","order":5,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}}]}}