Test of bivariate independence based on angular probability integral transform with emphasis on circular-circular and circular-linear data

The probability integral transform of a continuous random variable with distribution function is a uniformly distributed random variable . We define the angular probability integral transform (APIT) as , which corresponds to a uniformly distributed angle on the unit circle. For circular (angular) ra...

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Bibliographic Details

Published in:	Dependence modeling Vol. 11; no. 1; pp. 547 - 556
Main Authors:	Fernández-Durán, Juan José, Gregorio-Domínguez, María Mercedes
Format:	Journal Article
Language:	English
Published:	De Gruyter 20.10.2023
Subjects:	62H05 62H11 circular uniformity tests circular-circular dependence circular-linear dependence copula dependence measures
ISSN:	2300-2298, 2300-2298
Online Access:	Get full text
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