Asymptotics of Sums of Residuals of One-Parameter Linear Regression on Order Statistics

DOI10.1137/S0040585X97T987193zbMath1342.62077OpenAlexW1279380391MaRDI QIDQ2944443

No author found.

Publication date: 2 September 2015

Published in: Theory of Probability & Its Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/s0040585x97t987193

zbMATH Keywords

order statisticslinear regressionresidualsempirical bridge

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Linear regression; mixed models (62J05) Order statistics; empirical distribution functions (62G30) Functional limit theorems; invariance principles (60F17)

Related Items (4)

Asymptotics of sums of regression residuals under multiple ordering of regressors ⋮ On the maximization of quadratic weighted kappa ⋮ A statistical test for the Zipf's law by deviations from the Heaps' law ⋮ Asymptotics of an empirical bridge of regression on induced order statistics

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Testing for changes in polynomial regression
• Limit processes for sequences of partial sums of regression residuals
• Convergence theorems for empirical Lorenz curves and their inverses
• Testing Normality in One-Dimensional and Multi-Dimensional Linear Regression
• Cramer-von mises-type tests with applications to tests of independence for multivariate extreme-value distributions
• Order Statistics
• A General Definition of the Lorenz Curve
• On the Distribution of the Expected Values of the Order Statistics

This page was built for publication: Asymptotics of Sums of Residuals of One-Parameter Linear Regression on Order Statistics