A class of tests for the two-sample problem for count data

DOI10.1016/j.cam.2016.09.050zbMath1359.62136OpenAlexW2538611120MaRDI QIDQ507879

M. V. Alba-Fernández, Apostolos Batsidis, Pedro Jodrá, M. Dolores Jiménez-Gamero

Publication date: 9 February 2017

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2016.09.050

zbMATH Keywords

simulationprobability generating functioncount datatwo-sample problemweighted bootstrap estimators

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20) Nonparametric statistical resampling methods (62G09)

Related Items (6)

Testing the equality of a large number of populations ⋮ A consistent statistical test based on bivariate random samples ⋮ 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

Uses Software

• R

Cites Work

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