Matrices with special reference to applications in psychometrics

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Cites Work

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A necessary and sufficient formula for matric factoring
A generalization of Kristof's theorem on the trace of certain matrix products
An improved method for generalized constrained canonical correlation analysis
Tests for dimensionality and interactions of mean vectors under general and reducible covariance structures
Simplicity of core arrays in three-way principal component analysis and the typical rank of \(p\times q\times 2\) arrays
General definition and decomposition of projectors and some applications to statistical problems
Principal component analysis of three-mode data by means of alternating least squares algorithms
Component models for three-way data: An alternating least squares algorithm with optimal scaling features
CANDELINC: A general approach to multidimensional analysis of many-way arrays with linear constraints on parameters
Canonical correlation analysis with linear constraints
Relationships among several methods of linearly constrained correspondence analysis
An algebraic solution for a class of subjective metrics models
Redundancy analysis: an alternative for canonical correlation analysis
Three-way arrays: rank and uniqueness of trilinear decompositions, with application to arithmetic complexity and statistics
The rank of a difference of matrices and associated generalized inverses
A new computational method to fit the weighted Euclidean distance model
Maximum likelihood estimators in multivariate linear normal models
Multivariate reduced-rank regression
On oblique projectors
A generalization of GIPSCAL for the analysis of nonsymmetric data
Functional data analysis
A new formulation of the nonmetric strain problem in multidimensional scaling
Metric unfolding: Data requirement for unique solution P clarification of Schönemann's algorithm
Some generalized forms of least squares \(g\)-inverse, minimum norm \(g\)- inverse, and Moore-Penrose inverse matrices
Component analysis with different sets of constraints on different dimensions
Growth curve model with hierarchical within-individuals design matrices
The typical rank of tall three-way arrays
Principal component analysis with external information on both subjects and variables
The analysis of proximities: Multidimensional scaling with an unknown distance function: I, II
Analysis of individual differences in multidimensional scaling via an \(n\)-way generalization of ``Eckart-Young decomposition
A theorem on the trace of certain matrix products and some applications
On metric multidimensional unfolding
On the Wedderburn-Guttman theorem
Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis
Nonmetric multidimensional scaling. A numerical method
A generalization of Takane's algorithm for DEDICOM
Remarks to Maurice Frechet's article ``Sur la definition axiomatique d'une classe d'espaces vectoriels distancies applicables vectoriellement sur l'espace de Hilbert
On the prediction of phenomena from qualitative data and the quantification of qualitative data from the mathematico-statistical point of view
Multidimensional scaling. I: Theory and method
General theory and methods for matric factoring
The growth curve model: a review
The Restricted Singular Value Decomposition of Matrix Triplets
SYMMETRIC GAUGE FUNCTIONS AND UNITARILY INVARIANT NORMS
An extension of the growth curve model
The Restricted Singular Value Decomposition: Properties and Applications
Generalizing the Singular Value Decomposition
Reduced Rank Models with Two Sets of Regressors
A Rank–One Reduction Formula and Its Applications to Matrix Factorizations
Two Purposes for Matrix Factorization: A Historical Appraisal
A generalized multivariate analysis of variance model useful especially for growth curve problems
Some distance properties of latent root and vector methods used in multivariate analysis
Estimating Linear Restrictions on Regression Coefficients for Multivariate Normal Distributions
Constrained principal component analysis: A comprehensive theory

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