On a new approach to the multi-sample goodness-of-fit problem

DOI10.1080/03610918.2019.1618472zbMath1497.62109OpenAlexW2946288982WikidataQ127841415 ScholiaQ127841415MaRDI QIDQ5082757

Daniel Gaigall

Publication date: 21 June 2022

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

Full work available at URL: https://doi.org/10.1080/03610918.2019.1618472

zbMATH Keywords

goodness-of-fit testparametric bootstrapmulti-sample problem

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Bootstrap, jackknife and other resampling methods (62F40)

Related Items (2)

Cramér-von-Mises tests for the distribution of the excess over a confidence level ⋮ Bayesian inference under ramp stress accelerated life testing using Stan

Cites Work

• Unnamed Item
• Weak convergence and empirical processes. With applications to statistics
• Kolmogorov-type multisample goodness-of-fit tests based on conditional Poisson plans of random walks
• Bootstrap based goodness-of-fit-tests
• On Interchanging Limits and Integrals
• K-Sample Analogues of the Kolmogorov-Smirnov and Cramer-V. Mises Tests
• On the Distribution of the Two-Sample Cramer-von Mises Criterion
• Asymptotic Theory of Certain "Goodness of Fit" Criteria Based on Stochastic Processes

This page was built for publication: On a new approach to the multi-sample goodness-of-fit problem