Package: RobustBF 0.2.0

Gamze Guven

RobustBF: Robust Solution to the Behrens-Fisher Problem

Robust tests (RW and RF) are provided for testing the equality of two long-tailed symmetric (LTS) means when the variances are unknown and arbitrary. RW test is a robust version of Welch's two sample t test and the RF is a robust fiducial based test. The RW and RF tests are proposed using the adaptive modified maximum likelihood (AMML) estimators derived by Tiku and Surucu (2009) <doi:10.1016/j.spl.2008.12.001> and Donmez (2010) <https://open.metu.edu.tr/bitstream/handle/11511/19440/index.pdf>.

Authors:Gamze Guven [aut, cre], Sukru Acitas [aut], Hatice Samkar [aut], Birdal Senoglu [aut]

RobustBF_0.2.0.tar.gz
RobustBF_0.2.0.tar.gz(r-4.5-noble)RobustBF_0.2.0.tar.gz(r-4.4-noble)
RobustBF_0.2.0.tgz(r-4.4-emscripten)RobustBF_0.2.0.tgz(r-4.3-emscripten)
RobustBF.pdf |RobustBF.html✨
RobustBF/json (API)

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Exports:RFRW

Dependencies: