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Constrained linear ...
Constrained linear discriminant rule via the Studentized classification statistic based on monotone missing data
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Shutoh, N. (författare)
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Hyodo, M. (författare)
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- Pavlenko, Tetyana (författare)
- KTH,Matematisk statistik
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visa fler...
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Seo, T. (författare)
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visa färre...
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(creator_code:org_t)
- 2012
- 2012
- Engelska.
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Ingår i: SUT Journal of Mathematics. - 0916-5746. ; 48:1, s. 55-69
- Relaterad länk:
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https://urn.kb.se/re...
Abstract
Ämnesord
Stäng
- This paper provides an asymptotic expansion for the distribution of the Studentized linear discriminant function with k-step monotone missing training data. It turns out to be a certain generalization of the results derived by Anderson [1] and Shutoh and Seo [12]. Furthermore we also derive the cutoff point constrained by a conditional probability of misclassification using the idea of McLachlan [8]. Finally we perform Monte Carlo simulation to evaluate our results.
Ämnesord
- NATURVETENSKAP -- Matematik (hsv//swe)
- NATURAL SCIENCES -- Mathematics (hsv//eng)
Nyckelord
- Asymptotic expansion
- Linear discriminant analysis
- Monotone missing data
- Probabilities of misclassification
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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