Mathematical Tools for Applied Multivariate AnalysisThis book introduces matrix algebra to students in behavioral and administrative sciences. It clearly defines the relevance of the exercises to concerns within the business community and the social and behavioral sciences. Readers will gain a technical background for tackling applications-oriented multivariate texts. |
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Mathematical Tools for Applied Multivariate Analysis J. Douglas Carroll,Paul E. Green,Anil Chaturvedi No preview available - 1997 |
Mathematical Tools for Applied Multivariate Analysis J. Douglas Carroll,Paul E. Green,Anil Chaturvedi No preview available - 1997 |
Common terms and phrases
a₁ a₂ aČƒ angle applied axes axis b₁ b₂ basic structure basis vectors Chapter coefficients column vector compute concept coordinates correlation counterclockwise covariance matrix defined denotes derivative determinant diagonal matrix dimensions discussion e₁ echelon form eigenvalues eigenvectors elementary row operations entries equal example f₁ f₂ finding the eigenstructure function geometric identity matrix illustrated involving k₁ linear combination linear composite linear equations linear transformation matrix algebra matrix inversion matrix rank matrix transformations mean-corrected multiple discriminant analysis multiple regression multivariate analysis multivariate techniques nonsingular nonsymmetric obtained original orthogonal matrix orthonormal Panel pivotal method point transformation principal components analysis procedure quadratic forms rectangular represented rotation row vector sample problem scalar product scores Section shown simultaneous equations solution solving space SSCP matrix stationary point subtraction sums of squares symmetric matrix t₁ Table transformation matrix transpose values variance within-group x₁ and x2 X₂ zero дх