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1 Ergebnisse
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Linear regression for numeric symbolic variables: a least s..:
Irpino, Antonio
;
Verde, Rosanna
Advances in Data Analysis and Classification. 9 (2015) 1 - p. 81-106 , 2015
Link:
https://doi.org/10.1007/s11634-015-0197-7
RT Journal T1 <Title>Linear regression for numeric symbolic variables: a least squares approach based on Wasserstein Distance</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_s11634-015-0197-7&Exemplar=1&LAN=DE A1 Irpino, Antonio A1 Verde, Rosanna PB Springer Science and Business Media LLC YR 2015 SN 1862-5347 SN 1862-5355 JF Advances in Data Analysis and Classification VO 9 IS 1 SP 81 OP 106 LK http://dx.doi.org/https://doi.org/10.1007/s11634-015-0197-7 DO https://doi.org/10.1007/s11634-015-0197-7 SF ELIB - SuUB Bremen
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