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http://dx.doi.org/10.5351/CSAM.2013.20.4.291

Method-Free Permutation Predictor Hypothesis Tests in Sufficient Dimension Reduction  

Lee, Kyungjin (Department of Statistics, Ewha Womans University)
Oh, Suji (Department of Statistics, Ewha Womans University)
Yoo, Jae Keun (Department of Statistics, Ewha Womans University)
Publication Information
Communications for Statistical Applications and Methods / v.20, no.4, 2013 , pp. 291-300 More about this Journal
Abstract
In this paper, we propose method-free permutation predictor hypothesis tests in the context of sufficient dimension reduction. Different from an existing method-free bootstrap approach, predictor hypotheses are evaluated based on p-values; therefore, usual statistical practitioners should have a potential preference. Numerical studies validate the developed theories, and real data application is provided.
Keywords
Permutation; predictor hypothesis tests; regression; sufficient dimension reduction;
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Times Cited By KSCI : 1  (Citation Analysis)
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