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Sample size calculation from specified RMS of the resubstitution error for linear classifiers

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3 Author(s)
Amin Zollanvari ; Department of Electrical and Computer Engineering, Texas A&M University, College Station, TX, USA ; Ulisses M. Braga-Neto ; Edward R. Dougherty

Error estimation must be used to find the accuracy of a designed classifier, an issue that is critical in biomarker discovery. This paper applies analytical results derived previously by the authors concerning the exact sampling distribution of resubstitution for LDA under a Gaussianity assumption in order to investigate how the RMS for resubstitution behaves as a function of sample size. In particular, this allows one to make simple sample-size calculations based on a specified RMS.

Published in:

2009 IEEE International Workshop on Genomic Signal Processing and Statistics

Date of Conference:

17-21 May 2009