Searching for a common pooling pattern among several samples

DOI10.1016/j.csda.2013.04.015zbMath1471.62013OpenAlexW2164406691MaRDI QIDQ1615077

Pedro C. Álvarez-Esteban, Eustasio del Barrio, Juan Antonio Cuesta-Albertos, Carlos Matrán

Publication date: 2 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2013.04.015

zbMATH Keywords

bootstrapsimilarityWasserstein distanceimpartial trimmingpooled samplepooled distributionpooling patternstepwise backward-searchtrimmed distributions

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric hypothesis testing (62G10)

Related Items (1)

Time-efficient estimation of conditional mutual information for variable selection in classification

Uses Software

• R

Cites Work

• Unnamed Item
• Similarity of samples and trimming
• Uniqueness and approximate computation of optimal incomplete transportation plans
• \(k\)-sample test based on the common area of kernel density estimators
• Non-parametric \(k\)-sample tests: density functions vs distribution functions
• \(K\)-sample tests based on the likelihood ratio
• Some asymptotic theory for the bootstrap
• On the Asymptotic Properties of a Nonparametric<tex>$L_1$</tex>-Test Statistic of Homogeneity
• Trimmed Comparison of Distributions
• K-Sample Analogues of the Kolmogorov-Smirnov and Cramer-V. Mises Tests
• Empirical likelihood tests for two-sample problems via nonparametric density estimation

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