Optimal Regression Models for Multivariate Analysis (Factor Analysis).
NAVAL WEAPONS CENTER CHINA LAKE CALIF
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Multivariate regression models are presented which are optimally responsive to measured variation in experimental data. Tabulated values of fitting functions are taken from selected eigenvectors of the cross-products matrix. Models are developed for bivariate and trivariate experiments. The lattice and non-lattice situations are examined. Numerical applications include the reduction, interpolation, and graphical presentation of experimental data. Statistical applications originated with the factor analysis techniques employed in experimental psychology. Author
- Statistics and Probability