DocumentCode :
2682040
Title :
Sample size calculation from specified RMS of the resubstitution error for linear classifiers
Author :
Zollanvari, Amin ; Braga-Neto, Ulisses M. ; Dougherty, Edward R.
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
fYear :
2009
fDate :
17-21 May 2009
Firstpage :
1
Lastpage :
2
Abstract :
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.
Keywords :
Gaussian distribution; biology computing; Gaussianity assumption; error estimation; linear classifiers; resubstitution error; root mean square error; Bioinformatics; Biomarkers; Computational biology; Computer errors; Error analysis; Gaussian distribution; Genomics; Linear discriminant analysis; Pathology; Sampling methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Genomic Signal Processing and Statistics, 2009. GENSIPS 2009. IEEE International Workshop on
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-4761-9
Electronic_ISBN :
978-1-4244-4762-6
Type :
conf
DOI :
10.1109/GENSIPS.2009.5174333
Filename :
5174333
Link To Document :
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