Abstract

We study depth measures for multivariate data defined by integrating univariate depth measures, specifically, integrated dual (ID) depth introduced by Cuevas and Fraiman (2009) which integrates univariate simplicial depth, and integrated rank-weighted (IRW) depth, which integrates univariate Tukey depth. We build on the results of Cuevas and Fraiman (2009) to show that IRW depth shares many depth properties with ID depth. Further, we provide additional results on exact computation, decreasing along rays, continuity and breakdown point that apply to both ID and IRW depth. We also establish asymptotic normality and consistency of the sample IRW depths. Lastly, we demonstrate the use of this depth measure with real and simulated datasets: calculating robust location estimators and dd-plots.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.