A new thresholding method, based on L-statistics and called order
thresholding, is proposed as a technique for improving the power when testing
against high-dimensional alternatives. The new method allows great flexibility
in the choice of the threshold parameter. This results in improved power over
the soft and hard thresholding methods. Moreover, order thresholding is not
restricted to the normal distribution. An extension of the basic order
threshold statistic to high-dimensional ANOVA is presented. The performance of
the basic order threshold statistic and its extension is evaluated with
extensive simulations.Comment: Published in at http://dx.doi.org/10.1214/09-AOS782 the Annals of
Statistics (http://www.imstat.org/aos/) by the Institute of Mathematical
Statistics (http://www.imstat.org