TESTS OF SIGNIFICANCE IN CANONICAL ANALYSIS
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Publication:3272285
DOI10.1093/biomet/46.1-2.59zbMath0094.14305OpenAlexW2094502128WikidataQ106672807 ScholiaQ106672807MaRDI QIDQ3272285
Publication date: 1959
Published in: Biometrika (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1093/biomet/46.1-2.59
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Statistical Tests and Estimators of the Rank of a Matrix and Their Applications in Econometric Modelling ⋮ A Review of the packing problem ⋮ Model specification tests for balanced representation state space models ⋮ Statistical inference for functional relationship between the specified and the remainder populations ⋮ Asymptotic expansions in the singular value decomposition for cross covariance and correlation under nonnormality ⋮ Asymptotic results in canonical discriminant analysis when the dimension is large compared to the sample size ⋮ Asymptotic expansions of the distributions of estimators in canonical correlation analysis under nonnormality ⋮ Canonical Correlation Analysis Using Small Number of Samples ⋮ Normalizing and variance stabilizing transformations of multivariate statistics under an elliptical population ⋮ On some tests of the covariance matrix under general conditions ⋮ Inference in canonical correlation analysis ⋮ Asymptotic expansions of test statistics for dimensionality and additional information in canonical correlation analysis when the dimension is large ⋮ Testing for Panel Unit Roots under General Cross-sectional Dependence ⋮ On the Distribution of Likelihood Ratio Test Statistics for Cointegration Rank ⋮ Parallel analysis approach for determining dimensionality in canonical correlation analysis ⋮ A Comparison of Some Tests for Determining the Number of Nonzero Canonical Correlations ⋮ Tests of dimensionality in multivariate analysis of variance ⋮ Tests for dimensionality and interactions of mean vectors under general and reducible covariance structures ⋮ Polynomial estimation of eigenvalues ⋮ Asymptotic distribution of the increase of the largest canonical correlation when one of the vectors is augmented
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