| dc.contributor.author | Papadatos, Nickos | en |
| dc.creator | Papadatos, Nickos | en |
| dc.date.accessioned | 2019-12-02T10:37:16Z | |
| dc.date.available | 2019-12-02T10:37:16Z | |
| dc.date.issued | 2014 | |
| dc.identifier.issn | 0047-259X | |
| dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/57358 | |
| dc.description.abstract | A class of examples concerning the relationship of linear regression and maximal correlation is provided. More precisely, these examples show that if two random variables have (strictly) linear regression on each other, then their maximal correlation is not necessarily equal to their (absolute) correlation. © 2014. | en |
| dc.source | Journal of Multivariate Analysis | en |
| dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893613984&doi=10.1016%2fj.jmva.2013.12.008&partnerID=40&md5=ea7e97f1c48e41ffe767d156bbe2f479 | |
| dc.subject | Linear regression | en |
| dc.subject | Maximal correlation coefficient | en |
| dc.subject | Sarmanov theorem | en |
| dc.title | Some counterexamples concerning maximal correlation and linear regression | en |
| dc.type | info:eu-repo/semantics/article | |
| dc.identifier.doi | 10.1016/j.jmva.2013.12.008 | |
| dc.description.volume | 126 | |
| dc.description.startingpage | 114 | |
| dc.description.endingpage | 117 | |
| dc.author.faculty | Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
| dc.author.department | Τμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics | |
| dc.type.uhtype | Article | en |
| dc.description.notes | <p>Cited By :2</p> | en |
| dc.source.abbreviation | J.Multivariate Anal. | en |
