A Primer of Multivariate Statistics (Hardcover, 3)

Contents: Preface. The Forest Before the Trees. Multiple Regression: Predicting One Variable From Many. Hotelling's T2: Tests on One or Two Mean Vectors. Multivariate Analysis of Variance: Differences Among Several Groups on Several Measures. Canonical Correlation: Relationships Between Two Sets of Variables. Principal Component Analysis: Relationships Within a Single Set of Variables. Factor Analysis: The Search for Structure. The Forest Revisited. Digression 1: Finding Maxima and Minima of Polynomials. Digression 2: Matrix Algebra. Digression 3: Solution of Cubic Equations. Appendices: Statistical Tables. Computer Programs Available From the Author. Derivations.