Component models for three-way data: An alternating least squares algorithm with optimal scaling features

DOI10.1007/BF02293598zbMath0465.62104WikidataQ60307035 ScholiaQ60307035MaRDI QIDQ1154771

Richard Sands, Forrest W. Young

Publication date: 1980

Published in: Psychometrika (Search for Journal in Brave)

zbMATH Keywords

individual differencesalternating least squares algorithmthree-way dataweighted modelmeasurement levelALSCOMP3 algorithmoptimal scaling featuresTucker three mode factor analysis model

Mathematics Subject Classification ID

Monte Carlo methods (65C05) Applications of statistics to psychology (62P15)

Related Items (8)

Matrices with special reference to applications in psychometrics ⋮ A user-oriented overview of multiway methods and software ⋮ The TUCKALS line. A suite of programs for three-way data analysis ⋮ Functional parallel factor analysis for functions of one- and two-dimensional arguments ⋮ An algorithm for the non-identifiability of rank-3 tensors ⋮ Some properties of the normed alternating least squares (ALS) algorithm ⋮ PARAFAC: Parallel factor analysis ⋮ Pencil-Based Algorithms for Tensor Rank Decomposition are not Stable

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