Assessing when a sample is mostly normal-Reference-Cited by-同舟云学术

Assessing when a sample is mostly normal

Published:2010-12 Issue:12 Volume:54 Page:2914-2925
ISSN:0167-9473
Container-title:Computational Statistics & Data Analysis
language:en
Short-container-title:Computational Statistics & Data Analysis

Author:

Alvarez-Esteban Pedro C.,del Barrio Eustasio,Cuesta-Albertos Juan A.,Matrán Carlos

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference17 articles.

1. Trimmed comparison of distributions;Alvarez-Esteban;J. Amer. Statist. Assoc.,2008

2. Alvarez-Esteban, P.C., del Barrio, E., Cuesta-Albertos, J.A., Matrán, C., 2008b. Uniqueness and approximate computation of optimal incomplete transportation plans. Ann. Inst. H. Poincaré Probab. Statist. (in press)

3. Tests of goodness of fit based on the L2-Wasserstein distance;del Barrio;Ann. Statist.,1999

4. Contributions of empirical and quantile processes to the asymptotic theory of goodness-of-fit tests;del Barrio;Test,2000

5. Asymptotics for L2 functionals of the empirical quantile process, with applications to tests of fit based on weighted Wasserstein distances;del Barrio;Bernoulli,2005

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