Another Look at Resampling: Replenishing Small Samples with Virtual Data through S-SMART
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May 1, 2010
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Haiyan Bai
University of Central Florida
Wei Pan
University of Cincinnati
Leigh Lihshing Wang
University of Cincinnati
Phillip Neal Ritchey
University of Cincinnati
Abstract
A new resampling method is introduced to generate virtual data through a smoothing technique for replenishing small samples. The replenished analyzable sample retains the statistical properties of the original small sample, has small standard errors and possesses adequate statistical power.
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