Convergence theorems for empirical cumulative quantile regression functions

zbMath0831.62035MaRDI QIDQ1900837

C. Radhakrishna Rao, Lin Cheng Zhao

Publication date: 6 February 1996

Published in: Mathematical Methods of Statistics (Search for Journal in Brave)

zbMATH Keywords

weak convergencequantile regressionconvergence propertiesstrong consistencytest statisticsmarginal distributionbivariate random variablefunction spaces \(D\) and \(C\)Lorenz concentration curveMahalanobis fractile graph

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) General nonlinear regression (62J02)

Related Items (8)

A brief biography and appreciation of Calyampudi Radhakrishna Rao, with a bibliography of his books and papers ⋮ Validation of positive expectation dependence ⋮ The cumulative quantile regression function with censored and truncated covariate ⋮ Composing the cumulative quantile regression function and the Goldie concentration curve ⋮ Statistical foundations for assessing the difference between the classical and weighted-Gini betas ⋮ On the cumulative quantile regression process ⋮ The cumulative quantile regression function with censored and truncated response ⋮ Weighted allocations, their concomitant-based estimators, and asymptotics

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