Boundary-free kernel-smoothed goodness-of-fit tests for data on general interval

DOI10.1080/03610918.2021.1894336arXiv2005.13794OpenAlexW3133909818MaRDI QIDQ6172139

Rizky Reza Fauzi, Yoshihiko Maesono

Publication date: 18 July 2023

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2005.13794

zbMATH Keywords

kernel smoothingtransformationdistribution functiongoodness-of-fit testKolmogorov-Smirnov testCramér-von Mises testbijective function

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Improved kernel estimation of copulas: weak convergence and goodness-of-fit testing
• Integrated squared error of kernel-type estimator of distribution function
• A note on limit theorems for perturbed empirical processes
• Two-sample Kolmogorov-Smirnov-type tests revisited: old and new tests in terms of local levels
• Test for model selection using Cramér-von Mises distance in a fixed design regression setting
• A rank-based Cramér-von-Mises-type test for two samples
• Relative efficiency and deficiency of kernel type estimators of smooth distribution functions
• Nonparametric estimates of distribution functions
• Mean intergrated squared error properties and optimal kernels when estimating a diatribution function
• Smooth optimum kernel estimators near endpoints
• Incorporating support constraints into nonparametric estimators of densities
• Strong uniform consistency of integrals of density estimators
• Note on the minimum mean integrated squared error of kernel estimates of a distribution function and its derivatives
• Hazard Rate Estimation under Random Censoring with Varying Kernels and Bandwidths
• Cramér–von Mises distance: probabilistic interpretation, confidence intervals, and neighbourhood-of-model validation
• Some New Estimates for Distribution Functions