Fast tests for the two-sample problem based on the empirical characteristic function

DOI10.1016/j.matcom.2016.09.007OpenAlexW2526977433MaRDI QIDQ2229077

M. V. Alba-Fernández, I. Barranco-Chamorro, M. Dolores Jiménez-Gamero, Pedro Jodrá

Publication date: 19 February 2021

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2016.09.007

zbMATH Keywords

consistencyweighted bootstrapcharacteristic functiontwo-sample problem

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Related Items (11)

Properties and approximate p-value calculation of the Cramer test ⋮ Testing the equality of a large number of populations ⋮ A consistent statistical test based on bivariate random samples ⋮ Computationally efficient approximations for independence tests in non-parametric regression ⋮ A general Monte Carlo method for multivariate goodness-of-fit testing applied to elliptical families ⋮ A weighted bootstrap approximation for comparing the error distributions in nonparametric regression ⋮ Approximating the null distribution of a class of statistics for testing independence ⋮ Weighted bootstrap for two-sample \(U\)-statistics ⋮ Change-point methods for multivariate time-series: paired vectorial observations ⋮ A class of tests for the two-sample problem for count data ⋮ A two-sample test for the error distribution in nonparametric regression based on the characteristic function

Uses Software

• R

Cites Work

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