Goodness-of-fit tests based on quadratic functionals of transformed empirical processes

DOI10.1080/02331880108802729zbMath1044.62044OpenAlexW1985756726MaRDI QIDQ2716937

Alejandra Cabaña, Enrique M. Cabaña

Publication date: 2001

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331880108802729

zbMATH Keywords

goodness-of-fitCramér-von Mises statistics

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20) Order statistics; empirical distribution functions (62G30)

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Weak convergence of marked empirical processes for focused inference on \(\mathrm{AR}(p)\) vs \(\mathrm{AR}(p+1)\) stationary time series ⋮ χ²-Type Goodness of Fit Test Based on Transformed Empirical Processes for Location and Scale Families ⋮ Goodness-of-fit tests for continuous regression

Cites Work

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• Asymptotics in statistics: some basic concepts
• Transformations of the empirical measure and Kolmogorov-Smirnov tests
• Transformed empirical processes and modified Kolmogorov-Smirnov tests for multivariate distributions
• A Test of Goodness of Fit