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A simple method for obtaining the maximal correlation coefficient and related characterizations

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A simple method for obtaining the maximal correlation coefficient and related characterizations. / Papadatos, Nickos; Xifara, Tatiana.
In: Journal of Multivariate Analysis, Vol. 118, 07.2013, p. 102-114.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Papadatos, N & Xifara, T 2013, 'A simple method for obtaining the maximal correlation coefficient and related characterizations', Journal of Multivariate Analysis, vol. 118, pp. 102-114. https://doi.org/10.1016/j.jmva.2013.03.017

APA

Vancouver

Papadatos N, Xifara T. A simple method for obtaining the maximal correlation coefficient and related characterizations. Journal of Multivariate Analysis. 2013 Jul;118:102-114. Epub 2013 Apr 6. doi: 10.1016/j.jmva.2013.03.017

Author

Papadatos, Nickos ; Xifara, Tatiana. / A simple method for obtaining the maximal correlation coefficient and related characterizations. In: Journal of Multivariate Analysis. 2013 ; Vol. 118. pp. 102-114.

Bibtex

@article{a7e8e21fffbc4db7bfa07474500814e1,
title = "A simple method for obtaining the maximal correlation coefficient and related characterizations",
abstract = "We provide a method that enables the simple calculation of the maximal correlation coefficient of a bivariate distribution, under suitable conditions. In particular, the method readily applies to known results on order statistics and records. As an application we provide a new characterization of the exponential distribution: Under a splitting model on independent identically distributed observations, it is the (unique, up to a location-scale transformation) parent distribution that maximizes the correlation coefficient between the records among two different branches of the splitting sequence.",
keywords = "Maximal correlation coefficient , Characterization of exponential distribution, Order statistics, Records, Splitting model",
author = "Nickos Papadatos and Tatiana Xifara",
year = "2013",
month = jul,
doi = "10.1016/j.jmva.2013.03.017",
language = "English",
volume = "118",
pages = "102--114",
journal = "Journal of Multivariate Analysis",
publisher = "Academic Press Inc.",

}

RIS

TY - JOUR

T1 - A simple method for obtaining the maximal correlation coefficient and related characterizations

AU - Papadatos, Nickos

AU - Xifara, Tatiana

PY - 2013/7

Y1 - 2013/7

N2 - We provide a method that enables the simple calculation of the maximal correlation coefficient of a bivariate distribution, under suitable conditions. In particular, the method readily applies to known results on order statistics and records. As an application we provide a new characterization of the exponential distribution: Under a splitting model on independent identically distributed observations, it is the (unique, up to a location-scale transformation) parent distribution that maximizes the correlation coefficient between the records among two different branches of the splitting sequence.

AB - We provide a method that enables the simple calculation of the maximal correlation coefficient of a bivariate distribution, under suitable conditions. In particular, the method readily applies to known results on order statistics and records. As an application we provide a new characterization of the exponential distribution: Under a splitting model on independent identically distributed observations, it is the (unique, up to a location-scale transformation) parent distribution that maximizes the correlation coefficient between the records among two different branches of the splitting sequence.

KW - Maximal correlation coefficient

KW - Characterization of exponential distribution

KW - Order statistics

KW - Records

KW - Splitting model

U2 - 10.1016/j.jmva.2013.03.017

DO - 10.1016/j.jmva.2013.03.017

M3 - Journal article

VL - 118

SP - 102

EP - 114

JO - Journal of Multivariate Analysis

JF - Journal of Multivariate Analysis

ER -