On multidimensional contingency tables with categories defined by the empirical quantiles of the marginal data

DOI10.1016/S0378-3758(00)00127-0zbMath0971.62032MaRDI QIDQ1589679

Craig B. Borkowf

Publication date: 20 March 2001

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

zbMATH Keywords

ranksquantilesintraclass correlationnutritional epidemiologyempirical multivariate quantile-partitioned distributions

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Order statistics; empirical distribution functions (62G30) Contingency tables (62H17)

Uses Software

• GAUSS
• bootstrap

Cites Work

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• A new nonparametric method for variance estimation and confidence interval construction for Spearman's rank correlation.
• Analyzing Bivariate Continuous Data Grouped into Categories Defined by Empirical Quantiles of Marginal Distributions
• Parametric Methods for Bivariate Quantile‐Partitioned Tables and the Efficiency of Corresponding Nonparametric Methods
• Some Concepts of Dependence
• A New Proof of the Bahadur Representation of Quantiles and an Application
• On a Measure of Dependence Between two Random Variables

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