Event Selection Using an Extended Fisher Discriminant Method

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dc.creatorRoe, Byron P.
dc.date2003-10-29
dc.date.accessioned2026-07-07T05:50:21Z
dc.date.available2026-07-07T05:50:21Z
dc.descriptionThis 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.
dc.descriptionPaper submitted to Stanford PHYSTAT 2003 conference, 3pages 2 figures
dc.identifierhttps://arxiv.org/abs/physics/0310145
dc.identifierhttp://arxiv.org/abs/physics/0310145
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/85685
dc.subjectData Analysis, Statistics and Probability
dc.titleEvent Selection Using an Extended Fisher Discriminant Method
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