RR-plot: a descriptive tool for regression observations

DOI10.1080/02664763.2019.1631268OpenAlexW2950739872MaRDI QIDQ5036966

Yang He, Xiao Hui Liu

Publication date: 25 February 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2019.1631268

zbMATH Keywords

characterizationdescriptive statistics\textit{RR}-plothalfspace regression depth

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Cites Work

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• Fast nonparametric classification based on data depth
• On the Tukey depth of an atomic measure
• Empirical likelihood ratio confidence regions
• On a notion of data depth based on random simplices
• Smooth depth contours characterize the underlying distribution
• Breakdown properties of location estimates based on halfspace depth and projected outlyingness
• Halfspace depth and regression depth characterize the empirical distribution
• Zonoid trimming for multivariate distributions
• Projection-based depth functions and associated medians
• Multivariate analysis by data depth: Descriptive statistics, graphics and inference. (With discussions and rejoinder)
• General notions of statistical depth function.
• John W. Tukey's work on interactive graphics
• Halfspace depth does not characterize probability distributions
• Testing predictive regression models with nonstationary regressors
• Probability for Statisticians
• Regression Depth
• DD-Classifier: Nonparametric Classification Procedure Based onDD-Plot

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