Biometrika Advance Access originally published online on February 28, 2007
Biometrika 2007 94(2):285-296; doi:10.1093/biomet/asm021
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Copyright © 2007 Biometrika Trust
Articles |
Marginal tests with sliced average variance estimation
School of Statistics, University of Minnesota, Minneapolis, Minnesota 55455, U.S.A.
ywshao{at}stat.umn.edu
dennis{at}stat.umn.edu
sandy{at}stat.umn.edu
Received for publication 1 December 2005.
Revision received 1 June 2006.
| Abstract |
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We present a new computationally feasible test for the dimension of the central subspace in a regression problem based on sliced average variance estimation. We also provide a marginal coordinate test. Under the null hypothesis, both the test of dimension and the marginal coordinate test involve test statistics that asymptotically have chi-squared distributions given normally distributed predictors, and have a distribution that is a linear combination of chi-squared distributions in general.
Key Words: marginal coordinate test sufficient dimension reduction