The cumulative quantile regression function with censored and truncated covariate
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Publication:1933356
DOI10.3103/S1066530712030040zbMath1295.60037MaRDI QIDQ1933356
Publication date: 23 January 2013
Published in: Mathematical Methods of Statistics (Search for Journal in Brave)
partial sum processlaw of the iterated logarithmLorenz curvestrong Gaussian approximationinduced order statisticsquantile regression functionproduct-limit process
Nonparametric estimation (62G05) Order statistics; empirical distribution functions (62G30) Strong limit theorems (60F15) Functional limit theorems; invariance principles (60F17)
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Cites Work
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- \(L\)-functions, processes, and statistics in measuring economic inequality and actuarial risks
- Quantile process for left truncated and right censored data
- A monotonicity property of the composition of regularized and inverted-regularized gamma functions with applications
- Weighted risk capital allocations
- A strong representation of the product-limit estimator for left truncated and right censored data
- Functional limit theorems for induced order statistics
- Convergence theorems for empirical cumulative quantile regression functions
- On the cumulative quantile regression process
- TESTING HYPOTHESES ABOUT ABSOLUTE CONCENTRATION CURVES AND MARGINAL CONDITIONAL STOCHASTIC DOMINANCE
- A note on the product-limit estimator under right censoring and left truncation
- An approximation of partial sums of independent RV's, and the sample DF. II
- An approximation of partial sums of independent RV'-s, and the sample DF. I
- Convergence theorems for empirical Lorenz curves and their inverses
- A General Definition of the Lorenz Curve
