{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,13]],"date-time":"2026-01-13T00:31:46Z","timestamp":1768264306814,"version":"3.49.0"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319107646","type":"print"},{"value":"9783319107653","type":"electronic"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-10765-3_25","type":"book-chapter","created":{"date-parts":[[2014,9,10]],"date-time":"2014-09-10T14:46:37Z","timestamp":1410360397000},"page":"209-216","source":"Crossref","is-referenced-by-count":7,"title":["Cluster Analysis of Time Series via Kendall Distribution"],"prefix":"10.1007","author":[{"given":"Fabrizio","family":"Durante","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Roberta","family":"Pappad\u00e0","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"issue":"11","key":"25_CR1","doi-asserted-by":"publisher","first-page":"1857","DOI":"10.1016\/j.patcog.2005.01.025","volume":"38","author":"T.W. Liao","year":"2005","unstructured":"Liao, T.W.: Clustering of time series data - a survey. Pattern Recogn.\u00a038(11), 1857\u20131874 (2005)","journal-title":"Pattern Recogn."},{"key":"25_CR2","volume-title":"Correlation and Dependence in Risk Management: Properties and Pitfalls","author":"P. Embrechts","year":"2001","unstructured":"Embrechts, P., McNeil, A.J., Straumann, D.: Correlation and Dependence in Risk Management: Properties and Pitfalls. Cambridge Univ. Press, New York (2001)"},{"key":"25_CR3","doi-asserted-by":"publisher","first-page":"394","DOI":"10.1061\/(ASCE)1084-0699(2007)12:4(394)","volume":"12","author":"A. Poulin","year":"2007","unstructured":"Poulin, A., Huard, D., Favre, A.-C., Pugin, S.: Importance of tail dependence in bivariate frequency analysis. J. Hydrol. Eng.\u00a012, 394\u2013403 (2007)","journal-title":"J. Hydrol. Eng."},{"key":"25_CR4","series-title":"Lecture Notes in Statistics - Proceedings","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1007\/978-3-642-12465-5_6","volume-title":"Copula Theory and its Applications","author":"G. Gudendorf","year":"2010","unstructured":"Gudendorf, G., Segers, J.: Extreme-value copulas. In: Jaworski, P., Durante, F., H\u00e4rdle, W., Rychlik, T. (eds.) Copula Theory and its Applications. Lecture Notes in Statistics - Proceedings, vol.\u00a0198, pp. 127\u2013145. Springer, Heidelberg (2010)"},{"key":"25_CR5","doi-asserted-by":"crossref","unstructured":"Salvadori, G., De Michele, C., Kottegoda, N.T., Rosso, R.: Extremes in Nature. An Approach Using Copulas. Water Sci. and Technology Library 56. Springer (2007)","DOI":"10.1007\/1-4020-4415-1"},{"key":"25_CR6","series-title":"Lecture Notes in Statistics - Proceedings","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1007\/978-3-642-12465-5_8","volume-title":"Copula Theory and its Applications","author":"P. Jaworski","year":"2010","unstructured":"Jaworski, P.: Tail behaviour of copulas. In: Jaworski, P., Durante, F., H\u00e4rdle, W., Rychlik, T. (eds.) Copula Theory and its Applications. Lecture Notes in Statistics - Proceedings, vol.\u00a0198, pp. 161\u2013186. Springer, Heidelberg (2010)"},{"issue":"4","key":"25_CR7","first-page":"434","volume":"12","author":"C. Gaetan","year":"2007","unstructured":"Gaetan, C., Grigoletto, M.: A hierarchical model for the analysis of spatial rainfall extremes. J. ABES\u00a012(4), 434\u2013449 (2007)","journal-title":"J. ABES"},{"issue":"12","key":"25_CR8","doi-asserted-by":"publisher","first-page":"2793","DOI":"10.1080\/02664763.2011.570317","volume":"38","author":"M.G. Scotto","year":"2011","unstructured":"Scotto, M.G., Barbosa, S.M., Alonso, A.M.: Extreme value and cluster analysis of European daily temperature series. Journal of Applied Statistics\u00a038(12), 2793\u20132804 (2011)","journal-title":"Journal of Applied Statistics"},{"key":"25_CR9","doi-asserted-by":"crossref","unstructured":"Favre, A.-C., Adlouni, S.E., Perreault, L., Thiemonge, N., Bobee, B.: Multivariate hydrological frequency analysis using copulas. Water Resour. Res.\u00a040 (2004)","DOI":"10.1029\/2003WR002456"},{"key":"25_CR10","doi-asserted-by":"crossref","unstructured":"Salvadori, G., De Michele, C.: Frequency analysis via copulas: theoretical aspects and applications to hydrological events. Water Resour. Res.\u00a040 (2004)","DOI":"10.1029\/2004WR003133"},{"key":"25_CR11","doi-asserted-by":"crossref","unstructured":"B\u00e1rdossy, A.: Copula-based geostatistical models for groundwater quality parameters. Water Resour. Res.\u00a042(11) (2006)","DOI":"10.1029\/2005WR004754"},{"key":"25_CR12","doi-asserted-by":"publisher","first-page":"1769","DOI":"10.5194\/nhess-12-1769-2012","volume":"12","author":"A. Bonazzi","year":"2012","unstructured":"Bonazzi, A., Cusack, S., Mitas, C., Jewson, S.: The spatial structure of European wind storms as characterized by bivariate extreme-value Copulas. Nat. Hazards Earth Syst. Sci.\u00a012, 1769\u20131782 (2012)","journal-title":"Nat. Hazards Earth Syst. Sci."},{"issue":"4","key":"25_CR13","doi-asserted-by":"publisher","first-page":"347","DOI":"10.1061\/(ASCE)1084-0699(2007)12:4(347)","volume":"12","author":"C. Genest","year":"2007","unstructured":"Genest, C., Favre, A.-C.: Everything you always wanted to know about copula modeling but were afraid to ask. J. Hydrologic Eng.\u00a012(4), 347\u2013368 (2007)","journal-title":"J. Hydrologic Eng."},{"key":"25_CR14","doi-asserted-by":"crossref","unstructured":"Durante, F., Pappad\u00e0, R., Torelli, N.: Clustering of financial time series in risky scenarios. Adv. Data Anal. Classif. (2013) (in press), doi: 10.1007\/s11634-013-0160-4","DOI":"10.1007\/s11634-013-0160-4"},{"issue":"4","key":"25_CR15","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1007\/s11634-011-0098-3","volume":"5","author":"G. De Luca","year":"2011","unstructured":"De Luca, G., Zuccolotto, P.: A tail dependence-based dissimilarity measure for financial time series clustering. Adv. Data Anal. Classif.\u00a05(4), 323\u2013340 (2011)","journal-title":"Adv. Data Anal. Classif."},{"key":"25_CR16","doi-asserted-by":"crossref","unstructured":"Durante, F., Pappad\u00e0, R., Torelli, N.: Clustering of extreme observations via tail dependence estimation. Statist. Papers (in press, 2014)","DOI":"10.1007\/s00362-014-0605-7"},{"key":"25_CR17","doi-asserted-by":"publisher","first-page":"624","DOI":"10.1214\/08-AOAS159","volume":"2","author":"T. Buishand","year":"2008","unstructured":"Buishand, T., de Haan, L., Zhou, C.: On spatial extremes: With application to a rainfall problem. Ann. Appl. Statist.\u00a02, 624\u2013642 (2008)","journal-title":"Ann. Appl. Statist."},{"key":"25_CR18","series-title":"Lectures Notes in Statistics","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1007\/0-387-36062-X_17","volume-title":"Dependence in Probability and Statistics","author":"D. Cooley","year":"2006","unstructured":"Cooley, D., Naveau, P., Poncet, P.: Variograms for spatial max-stable random fields. In: Dependence in Probability and Statistics. Lectures Notes in Statistics, pp. 373\u2013390. Springer, Heidelberg (2006)"},{"key":"25_CR19","doi-asserted-by":"publisher","first-page":"824","DOI":"10.1198\/016214506000000780","volume":"102","author":"D. Cooley","year":"2007","unstructured":"Cooley, D., Nychka, D., Naveau, P.: Bayesian spatial modeling of extreme precipitation return levels. J. Amer. Statist. Assoc.\u00a0102, 824\u2013840 (2007)","journal-title":"J. Amer. Statist. Assoc."},{"key":"25_CR20","doi-asserted-by":"publisher","first-page":"1275","DOI":"10.1175\/JCLI3297.1","volume":"18","author":"S.M. Robeson","year":"2005","unstructured":"Robeson, S.M., Doty, J.A.: Identifying rogue air temperature stations using cluster analysis of percentile trends. J. Climate\u00a018, 1275\u20131287 (2005)","journal-title":"J. Climate"},{"key":"25_CR21","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1061\/(ASCE)WW.1943-5460.0000045","volume":"136","author":"M.G. Scotto","year":"2010","unstructured":"Scotto, M.G., Alonso, A.M., Barbosa, S.M.: Clustering time series of sea levels: Extreme value approach. J. Waterway, Port, Coastal, and Ocean Engrg.\u00a0136, 215\u2013225 (2010)","journal-title":"J. Waterway, Port, Coastal, and Ocean Engrg."},{"key":"25_CR22","doi-asserted-by":"publisher","first-page":"3293","DOI":"10.5194\/hess-15-3293-2011","volume":"15","author":"G. Salvadori","year":"2011","unstructured":"Salvadori, G., De Michele, C., Durante, F.: On the return period and design in a multivariate framework. Hydrol. Earth Syst. Sci.\u00a015, 3293\u20133305 (2011)","journal-title":"Hydrol. Earth Syst. Sci."},{"issue":"4","key":"25_CR23","doi-asserted-by":"publisher","first-page":"2308","DOI":"10.1002\/wrcr.20204","volume":"49","author":"G. Salvadori","year":"2013","unstructured":"Salvadori, G., Durante, F., De Michele, C.: Multivariate return period calculation via survival functions. Water Resour. Res.\u00a049(4), 2308\u20132311 (2013)","journal-title":"Water Resour. Res."},{"issue":"1","key":"25_CR24","first-page":"151","volume":"154","author":"G. Salvadori","year":"2013","unstructured":"Salvadori, G., Durante, F., Perrone, E.: Semi\u2013parametric approximation of the Kendall\u2019s distribution and multivariate return periods. J. SFdS\u00a0154(1), 151\u2013173 (2013)","journal-title":"J. SFdS"},{"issue":"423","key":"25_CR25","doi-asserted-by":"publisher","first-page":"1034","DOI":"10.1080\/01621459.1993.10476372","volume":"88","author":"C. Genest","year":"1993","unstructured":"Genest, C., Rivest, L.-P.: Statistical inference procedures for bivariate Archimedean copulas. J. Amer. Statist. Assoc.\u00a088(423), 1034\u20131043 (1993)","journal-title":"J. Amer. Statist. Assoc."},{"issue":"4","key":"25_CR26","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1016\/S0167-7152(01)00047-5","volume":"53","author":"C. Genest","year":"2001","unstructured":"Genest, C., Rivest, L.-P.: On the multivariate probability integral transformation. Statist. Probab. Lett.\u00a053(4), 391\u2013399 (2001)","journal-title":"Statist. Probab. Lett."},{"key":"25_CR27","doi-asserted-by":"crossref","unstructured":"Cap\u00e9ra\u00e0, P., Foug\u00e8res, A.-L., Genest, C.: A stochastic ordering based on a decomposition of Kendall\u2019s tau. In: Bene\u0161, V., \u0160t\u011bp\u00e1n, J (Eds.) Distributions with Given Marginals and Moment Problems. Kluwer Academic Publishers, Dordrecht, pp. 81\u201386","DOI":"10.1007\/978-94-011-5532-8_9"},{"key":"25_CR28","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1016\/j.spl.2003.08.002","volume":"65","author":"R.B. Nelsen","year":"2003","unstructured":"Nelsen, R.B., Quesada\u2013Molina, J.J., Rodr\u00edguez\u2013Lallena, J.A., \u00dabeda\u2013Flores, M.: Kendall distribution functions. Statist. Probab. Lett.\u00a065, 263\u2013268 (2003)","journal-title":"Statist. Probab. Lett."},{"key":"25_CR29","doi-asserted-by":"publisher","first-page":"223","DOI":"10.1007\/s11749-011-0250-6","volume":"20","author":"C. Genest","year":"2011","unstructured":"Genest, C., Ne\u0161lehov\u00e1, G., Ziegel, J., Inference, J.: in multivariate Archimedean copula models. TEST\u00a020, 223\u2013256 (2011)","journal-title":"TEST"},{"issue":"1996","key":"25_CR30","doi-asserted-by":"publisher","first-page":"197","DOI":"10.1006\/jmva.1996.0048","volume":"58","author":"P. Barbe","year":"1996","unstructured":"Barbe, P., Genest, C., Ghoudi, K., R\u00e9millard, B.: On Kendall\u2019s process. J. Multivar. Anal.\u00a058(1996), 197\u2013229 (1996)","journal-title":"J. Multivar. Anal."}],"container-title":["Advances in Intelligent Systems and Computing","Strengthening Links Between Data Analysis and Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-10765-3_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,20]],"date-time":"2023-02-20T11:14:45Z","timestamp":1676891685000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-10765-3_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319107646","9783319107653"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-10765-3_25","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"value":"2194-5357","type":"print"},{"value":"2194-5365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015]]}}}