Analyzing Multivariate DataHarcourt Brace Jovanovich, 1987 - 494 стор. |
Зміст
Statistical Formulas in Matrix Form | 19 |
Vectors | 37 |
Variances and Covariances of Linear | 49 |
Авторські права | |
32 інших розділів не відображаються
Загальні терміни та фрази
alpha level analysis of variance anova apply b₁ battery cancor canonical correlations Chapter column common factor confidence intervals confidence region considered contrast variables control variables correlation matrix corresponding covariance matrix cross-validation define degrees of freedom dependent variable diagonal dummy code dummy variables eigenvalues eigenvectors equal error variance estimate example Exhibit factor analysis factorial design group means hierarchical inferences interaction intercepts inverse investigator linear combinations main effect mean square methods multiple correlation multiple regression multivariate null hypothesis number of factors overall parameters partial correlation population possible prediction predictors principal components problem procedure regression coefficients regression equation regression line regression weights rejected represent rotation sampling distribution score matrix significance slopes specified ssdev ssreg standard error standard score statistical subscript sums of squares Table transformation Type I error uncorrelated values variable-selection vector w₁ within-group x₁ zero

