Dimension reduction and linear discriminant functions based on an odds ratio parameterization

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1. Verfasser: Linde, Angelika van der (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Bremen Fachbereich Mathematik und Informatik, Univ. Bremen 2002
Schriftenreihe:Mathematik-Arbeitspapiere 56 : A, Mathematische Forschungspapiere
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Datensatz im Suchindex

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series2 Mathematik-Arbeitspapiere
spelling Linde, Angelika van der Verfasser aut
Dimension reduction and linear discriminant functions based on an odds ratio parameterization Angelika van der Linde
Bremen Fachbereich Mathematik und Informatik, Univ. Bremen 2002
40, 6 S. graph. Darst.
txt rdacontent
n rdamedia
nc rdacarrier
Mathematik-Arbeitspapiere 56 : A, Mathematische Forschungspapiere
Forschungsbericht gtt
Regressionsanalyse gtt
Mathematik-Arbeitspapiere 56 : A, Mathematische Forschungspapiere (DE-604)BV000895476 56
spellingShingle Linde, Angelika van der
Dimension reduction and linear discriminant functions based on an odds ratio parameterization
Mathematik-Arbeitspapiere
Forschungsbericht gtt
Regressionsanalyse gtt
title Dimension reduction and linear discriminant functions based on an odds ratio parameterization
title_auth Dimension reduction and linear discriminant functions based on an odds ratio parameterization
title_exact_search Dimension reduction and linear discriminant functions based on an odds ratio parameterization
title_full Dimension reduction and linear discriminant functions based on an odds ratio parameterization Angelika van der Linde
title_fullStr Dimension reduction and linear discriminant functions based on an odds ratio parameterization Angelika van der Linde
title_full_unstemmed Dimension reduction and linear discriminant functions based on an odds ratio parameterization Angelika van der Linde
title_short Dimension reduction and linear discriminant functions based on an odds ratio parameterization
title_sort dimension reduction and linear discriminant functions based on an odds ratio parameterization
topic Forschungsbericht gtt
Regressionsanalyse gtt
topic_facet Forschungsbericht
Regressionsanalyse
volume_link (DE-604)BV000895476
work_keys_str_mv AT lindeangelikavander dimensionreductionandlineardiscriminantfunctionsbasedonanoddsratioparameterization