Asymptotic study of the multivariate functional model in the case of a random number of observations for each mean
DOI10.1080/02331889408802454zbMath0811.62060OpenAlexW2200873904MaRDI QIDQ4763464
Publication date: 10 April 1995
Published in: Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/02331889408802454
asymptotic efficiencydiagonalizationprincipal componentssimple random samplingleast squares estimationmultivariate linear modelsresidual covariance matrixaffine functional modelsbetween covariance matrixdiscriminant factorial analysismetric choicewithin covariance matrix
Factor analysis and principal components; correspondence analysis (62H25) Estimation in multivariate analysis (62H12) Asymptotic distribution theory in statistics (62E20)
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- Asympotic study of the multivariate functional model. application to the metric choice in principal component analysis
- Estimating Linear Restrictions on Regression Coefficients for Multivariate Normal Distributions
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