Analyzing Bivariate Continuous Data Grouped into Categories Defined by Empirical Quantiles of Marginal Distributions

DOI10.2307/2533563zbMath0896.62114OpenAlexW1985437407WikidataQ36881635 ScholiaQ36881635MaRDI QIDQ4360516

Mitchell H. Gail, Craig B. Borkowf, Richard D. Gill, Raymond J. Carroll

Publication date: 6 October 1998

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/2533563

zbMATH Keywords

confidence intervals quantiles contingency table agreement kappa statistic empirical bivariate quantile-partitioned distribution

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric tolerance and confidence regions (62G15) Contingency tables (62H17)

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On a new measure of dependence and its applications ⋮ Nonparametric inference on multivariate versions of Blomqvist's beta and related measures of tail dependence ⋮ Quantile Association Regression Models ⋮ Square tray distributions ⋮ A new nonparametric method for variance estimation and confidence interval construction for Spearman's rank correlation. ⋮ On multidimensional contingency tables with categories defined by the empirical quantiles of the marginal data ⋮ Computing the nonnull asymptotic variance and the asymptotic relative efficiency of Spearman's rank correlation ⋮ Some novel models of distributions over the unit square ⋮ Multiple square tray distributions.

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