Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: YuanHai Xiao, Alexander Gordon, Andrei Yakovlev
Title: A C++ Program for the Cramér-Von Mises Two-Sample Test
Abstract: As larger sets of high-throughput data in genomics and proteomics become more readily available, there is a growing need for fast algorithms designed to compute exact p values of distribution-free statistical tests. We present a program for computing the exact distribution of the two-sample Cramér-von Mises test statistic under the null hypothesis that the two samples are drawn from the same continuous distribution. The program makes it possible to handle substantially larger sample sizes than earlier proposed computational tools. The C++ source code for the program is published with this paper, and an R package is under development.

Page views:: 11587. Submitted: 2006-03-17. Published: 2006-12-18.
Paper: A C++ Program for the Cramér-Von Mises Two-Sample Test     Download PDF (Downloads: 13011)
Supplements:
XCVMTest.tar.gz: C++ sources for the XCVMTest program Download (Downloads: 1973; 66KB)
DOI: 10.18637/jss.v017.i08

by
This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.