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Alternative Measures of Fit for The Schonemann-Caroll Matrix Fitting Algorithm
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Lingoes, James C.; Schonemann, Peter H. – Psychometrika, 1974
Descriptors: Algorithms, Goodness of Fit, Matrices, Orthogonal Rotation
Constrained DEDICOM.
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Kiers, Henk A. L.; Takane, Yoshio – Psychometrika, 1993
The DEcomposition into DIrectional COMponents (DEDICOM) method for analysis of asymmetric data gives representations that are identified only up to a non-singular transformation. To identify solutions, it is proposed that subspace constraints be imposed on the stimulus coefficients. Procedures are discussed for several cases. (SLD)
Descriptors: Algorithms, Equations (Mathematics), Least Squares Statistics, Mathematical Models
The Weighted Varimax Rotation and the Promax Rotation
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Cureton, Edward E.; Mulaik, Stanley A. – Psychometrika, 1975
Applications to the Promax Rotation are discussed, and it is shown that these procedures solve Thurstone's hitherto intractable "invariant" box problem as well as other more common problems based on real data. (Author/RC)
Descriptors: Algorithms, Comparative Analysis, Factor Analysis, Factor Structure
The Euclidean Algorithm as a Matrix Transformation
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Ibrahim, Aziz; Gucker, Edward – Mathematics Teacher, 1972
Descriptors: Algebra, Algorithms, Arithmetic, Computers
Linear Relations in Time Series Models. II
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Rennie, Robert R.; Villegas, C. – Journal of Multivariate Analysis, 1976
An asymptotic theory is developed for a new time series model introduced in TM 502 289. An algorithm for computing estimates of the parameters of this time series model is given, and it is shown that these estimators are asymptotically efficient in that they have the same asymptotic distribution as the maximum likelihood estimators. (Author/RC)
Descriptors: Algorithms, Analysis of Covariance, Mathematical Models, Matrices
Reverse Commonality and Some Illustrative Applications.
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Mayeske, George W.; Beaton, Albert E., Jr. – 1974
The results of an algorithm which is designed to take a set of commonality coefficients, either real or manipulated, and, if possible, produce one or more sets of regressor correlations that are consistent with them are examined. A number of different ways of resolving the higher order commonality values into their lower orders were tried and the…
Descriptors: Algorithms, Computer Programs, Correlation, Mathematical Applications