A note on the linear discriminant function when group means are equal: A note on the linear discriminant function when group means are equal

A note on the linear discriminant function when group means are equal: A note on the linear discriminant function when group means are equal

The performance of the sample linear discriminant function with known, proportional, covariance matrices and equal but unknown mean vectors is considered. Unconditional misclassification rates are obtained from the Student-t distribution. These results can be used as an aid in verifying simulation p...

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Veröffentlicht in:Communications in statistics. Simulation and computation 1980-01, Vol.9 (6), p.633-638
Hauptverfasser: Schwemer, Gregory T., Ray Mickey, M
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Sprache:eng
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Monte Carlo
simulation
Zero-mean discrimination
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container_issue 6
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container_title Communications in statistics. Simulation and computation
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creator Schwemer, Gregory T.
Ray Mickey, M
description The performance of the sample linear discriminant function with known, proportional, covariance matrices and equal but unknown mean vectors is considered. Unconditional misclassification rates are obtained from the Student-t distribution. These results can be used as an aid in verifying simulation programs incorporating the linear discriminant function when Gaussian densities with unequal covariance matrices are used.
doi_str_mv 10.1080/03610918008812180
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ispartof Communications in statistics. Simulation and computation, 1980-01, Vol.9 (6), p.633-638
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language eng
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source Taylor & Francis:Master (3349 titles)
subjects Monte Carlo
simulation
Zero-mean discrimination
title A note on the linear discriminant function when group means are equal: A note on the linear discriminant function when group means are equal
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