Fitting longitudinal reduced-rank regression models by alternating least squares

DOI10.1007/BF02294484zbMath0760.62062MaRDI QIDQ1205744

Catrien C. J. H. Bijleveld, Jan de Leeuw

Publication date: 1 April 1993

Published in: Psychometrika (Search for Journal in Brave)

zbMATH Keywords

majorizationordinary least squaresoptimal scalingeigenanalysisordinal variablescross-sectional datastate space analysisalternating least squares methoditerative fittinglongitudinal reduced-rank regression model

Mathematics Subject Classification ID

Linear regression; mixed models (62J05) Applications of statistics to psychology (62P15)

Related Items (7)

Weighted least squares fitting using ordinary least squares algorithms ⋮ The MM alternative to EM ⋮ Fitting longitudinal reduced-rank regression models by alternating least squares ⋮ Minimization of a class of matrix trace functions by means of refined majorization ⋮ A multivariate reduced-rank growth curve model with unbalanced data ⋮ Dynamic analysis of multivariate panel data with nonlinear transformations ⋮ Convergence of the sequence of parameters generated by alternating least squares algorithms

Cites Work

• Estimating linear statistical relationships
• Relationships between linear systems theory and covariance structure modeling
• Dynamic structural systems under indirect observation: Identifiability and estimation aspects from a system theoretic perspective
• Fitting longitudinal reduced-rank regression models by alternating least squares
• Multivariate analysis with linearizable regressions
• Estimation of a Model with Multiple Indicators and Multiple Causes of a Single Latent Variable
• Estimating Linear Restrictions on Regression Coefficients for Multivariate Normal Distributions
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