On estimating the dimensionality in discriminant analysis
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Publication:4843681
DOI10.1080/03610929408831381zbMath0825.62207OpenAlexW2007729821MaRDI QIDQ4843681
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Publication date: 17 August 1995
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610929408831381
asymptotic distributionlikelihood ratio testdimensionalityWishart distributionmultivariate normal distributionelliptical distributionAkaike's methodMallows' method
Cites Work
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- Between-group analysis with heterogeneous covariance matrices: The common principal component model
- Model selection and Akaike's information criterion (AIC): The general theory and its analytical extensions
- Asymptotic representations of the densities of canonical correlations and latent roots in MANOVA when the population parameters have arbitrary multiplicity
- Estimation of dimensionality in canonical correlation analysis
- Tests of dimensionality in multivariate analysis of variance
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