174 Pages
by
Psychology Press
174 Pages
by
Psychology Press
176 Pages
by
Psychology Press
Also available as eBook on:
A traditional approach to developing multivariate statistical theory is algebraic. Sets of observations are represented by matrices, linear combinations are formed from these matrices by multiplying them by coefficient matrices, and useful statistics are found by imposing various criteria of optimization on these combinations. Matrix algebra is the vehicle for these calculations. A second approach... Read more
Contents: Variable Space and Subject Space. Some Vector Geometry. Bivariate Regression. Multiple Regression. Configurations of Regression Vectors. Statistical Tests. Conditional Relationships. The Analysis of Variance. Principal-component Analysis. Canonical Correlation.
Biography
University of California, Los Angeles.
"A very valuable addition to the literature."
—CHOICE"The book is nicely written and proceeds step by step from bivariate regression to more complicated multivariate methods."
—Zentralblatt MATH
