Table of contents provided by Syndetics

• 1 Samples from the Multivariate Normal Population (p. 1)
• Introduction (p. 1)
• Why Do We Need Multivariate Methods? (p. 1)
• Multidimensional Random Variables (p. 3)
• The Multivariate Normal Distribution (p. 8)
• Conditional and Marginal Distributions of Multinormal Variates (p. 14)
• Samples from the Multinormal Population (p. 20)
• Correlation and Regression (p. 25)
• Simultaneous Inferences about Regression Coefficients (p. 34)
• Inferences about the Correlation Matrix (p. 38)
• Samples with Incomplete Observations (p. 43)
• Exercises (p. 46)
• 2 Tests of Hypotheses on Means (p. 55)
• Introduction (p. 55)
• Tests on Means and the T[superscript 2] Statistic (p. 55)
• Simultaneous Inferences for Means (p. 62)
• The Case of Two Samples (p. 64)
• The Analysis of Repeated-Measurements (p. 68)
• Groups of Repeated Measurements: The Paired T[superscript 2] Test (p. 84)
• Profile Analysis for Two Independent Groups (p. 87)
• The Power of Tests on Mean Vectors (p. 93)
• Some Tests with Known Covariance Matrices (p. 97)
• Tests for Outlying Observations (p. 99)
• Testing the Normality Assumption (p. 103)
• Exercises (p. 108)
• 3 The Multivariate Analysis of Variance (p. 131)
• Introduction (p. 131)
• The Multivariate General Linear Model (p. 131)
• The Multivariate Analysis of Variance (p. 140)
• The Multivariate Analysis of Covariance (p. 156)
• Multiple Comparisons in the Multivariate Analysis of Variance (p. 164)
• Profile Analysis (p. 172)
• Curve Fitting for Repeated Measurements (p. 183)
• Other Test Criteria (p. 190)
• Exercises (p. 192)
• 4 Classification by Discriminant Functions (p. 209)
• Introduction (p. 209)
• The Linear Discriminant Function for Two Groups (p. 210)
• Classification with Known Parameters (p. 213)
• The Case of Unequal Covariance Matrices (p. 215)
• Estimation of the Misclassification Probabilities (p. 218)
• Classification for Several Groups (p. 221)
• Linear Discrimination with a Singular Covariance Matrix (p. 226)
• Classification by Logistic Regression (p. 230)
• Some Further Aspects of Classification (p. 232)
• Exercises (p. 234)
• 5 Inferences from Covariance Matrices (p. 242)
• Introduction (p. 242)
• Hypothesis Tests for a Single Covariance Matrix (p. 242)
• Tests for Two Special Patterns (p. 245)
• Testing the Equality of Several Covariance Matrices (p. 247)
• Testing the Independence of Sets of Variates (p. 249)
• Canonical Correlation (p. 255)
• Exercises (p. 260)
• 6 The Structure of Multivariate Observations: I. Principal Components (p. 264)
• Introduction (p. 264)
• The Principal Components of Multivariate Observations (p. 265)
• The Geometrical Meaning of Principal Components (p. 274)
• The Interpretation of Principal Components (p. 278)
• Some Patterned Matrices and Their Principal Components (p. 282)
• The Sampling Properties of Principal Components (p. 285)
• Some Further Topics (p. 293)
• Exercises (p. 298)
• 7 The Structure of Multivariate Observations: II. Factor Analysis (p. 317)
• Introduction (p. 317)
• The Mathematical Model for Factor Analysis (p. 318)
• Estimation of the Factor Loadings (p. 322)
• Testing the Goodness of Fit of the Factor Model (p. 327)
• Examples of Factor Analyses (p. 329)
• Factor Rotation (p. 334)
• An Alternative Model for Factor Analysis (p. 340)
• The Evaluation of Factors (p. 342)
• Models for the Dependence Structure of Ordered Responses (p. 345)
• Clustering Sampling Units (p. 351)
• Multidimensional Scaling (p. 357)
• Exercises (p. 364)
• References (p. 371)
• Appendix A Tables and Charts (p. 400)
• Table 1 Upper Critical Values of the Standard Normal Distribution (p. 400)
• Table 2 Upper Critical Values of the Chi-squared Distribution (p. 401)
• Table 3 Upper Percentage Points of the t Distribution (p. 402)
• Table 4 Upper Percentage Points of the F Distribution (p. 403)
• Table 5 The Fisher z Transformation (p. 405)
• Table 6 Minimum Sample Sizes for a Single-Sample Repeated Measures Design (p. 406)
• Charts 1-8: Power Functions of the F Test (p. 410)
• Charts 9-16 and Table 7-15: Upper percentage points of the largest characteristic root (p. 418)
• Appendix B Data Sets (p. 443)
• Wechsler Adult Intelligence Scale subtest scores (p. 443)
• Iris Species Petal and Sepal Measurements (p. 445)
• Obesity Study Biochemical Levels (p. 447)
• Financial Ratios of Solvent and Financially Distressed Property Liability Insurers (p. 449)
• Financial Ratios of Bankrupt and Solvent Companies (p. 452)
• Dimensions and Characteristics of Winged Aphids (Alate adelges) (p. 454)
• Exchangeable Cations in Forest Soil (p. 455)
• Average Instructor and Course Evaluations for Business School Faculty Members (p. 457)
• Name Index (p. 461)
• Subject Index (p. 465)

Author notes provided by Syndetics