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Theory of Discriminant Analysis of the Increasing Number of Independent Variables

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Multivariate Statistical Analysis

Part of the book series: Theory and Decision Library ((TDLB,volume 41))

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Abstract

We consider a sequence P = {Pn} of the discrimination analysis problems

$$ {(p,k,l,f(x,\theta ),{\theta _1},{\theta _2},{\hat \theta _1},{\hat \theta _2},w(x),{\alpha _{1,}}{\alpha _2})_n},n = 1,2...., $$
((1))

where the arguments are as follows (we do not write out the subscripts n for arguments of (1)).

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© 2000 Springer Science+Business Media New York

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Serdobolskii, V. (2000). Theory of Discriminant Analysis of the Increasing Number of Independent Variables. In: Multivariate Statistical Analysis. Theory and Decision Library, vol 41. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9468-4_12

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  • DOI: https://doi.org/10.1007/978-94-015-9468-4_12

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-5593-4

  • Online ISBN: 978-94-015-9468-4

  • eBook Packages: Springer Book Archive

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