Event Selection Using an Extended Fisher Discriminant Method

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This note discusses the problem of choosing between hypotheses in a situation with many, correlated non-normal variables. A new method is introduced to shrink the many variables into a smaller subset of variables with zero mean, unit variance, and zero correlation coefficient between variables. These new variables are well suited to use in a neural net.
Paper submitted to Stanford PHYSTAT 2003 conference, 3pages 2 figures

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Data Analysis, Statistics and Probability

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http://salesiana.dossiersoluciones.com/handle/123456789/85685

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/physics/0310145
 http://arxiv.org/abs/physics/0310145

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arXiv