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Samples from the Multivariate Normal Population | |
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Introduction | |
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Why Do We Need Multivariate Methods? | |
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Multidimensional Random Variables | |
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The Multivariate Normal Distribution | |
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Conditional and Marginal Distributions of Multinormal Variates | |
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Samples from the Multinormal Population | |
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Correlation and Regression | |
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Simultaneous Inferences about Regression Coefficients | |
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Inferences about the Correlation Matrix | |
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Samples with Incomplete Observations | |
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Exercises | |
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Tests of Hypotheses on Means | |
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Introduction | |
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Tests on Means and the T[superscript 2] Statistic | |
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Simultaneous Inferences for Means | |
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The Case of Two Samples | |
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The Analysis of Repeated-Measurements | |
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Groups of Repeated Measurements: The Paired T[superscript 2] Test | |
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Profile Analysis for Two Independent Groups | |
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The Power of Tests on Mean Vectors | |
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Some Tests with Known Covariance Matrices | |
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Tests for Outlying Observations | |
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Testing the Normality Assumption | |
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Exercises | |
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The Multivariate Analysis of Variance | |
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Introduction | |
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The Multivariate General Linear Model | |
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The Multivariate Analysis of Variance | |
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The Multivariate Analysis of Covariance | |
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Multiple Comparisons in the Multivariate Analysis of Variance | |
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Profile Analysis | |
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Curve Fitting for Repeated Measurements | |
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Other Test Criteria | |
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Exercises | |
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Classification by Discriminant Functions | |
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Introduction | |
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The Linear Discriminant Function for Two Groups | |
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Classification with Known Parameters | |
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The Case of Unequal Covariance Matrices | |
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Estimation of the Misclassification Probabilities | |
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Classification for Several Groups | |
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Linear Discrimination with a Singular Covariance Matrix | |
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Classification by Logistic Regression | |
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Some Further Aspects of Classification | |
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Exercises | |
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Inferences from Covariance Matrices | |
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Introduction | |
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Hypothesis Tests for a Single Covariance Matrix | |
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Tests for Two Special Patterns | |
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Testing the Equality of Several Covariance Matrices | |
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Testing the Independence of Sets of Variates | |
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Canonical Correlation | |
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Exercises | |
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The Structure of Multivariate Observations: I. Principal Components | |
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Introduction | |
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The Principal Components of Multivariate Observations | |
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The Geometrical Meaning of Principal Components | |
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The Interpretation of Principal Components | |
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Some Patterned Matrices and Their Principal Components | |
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The Sampling Properties of Principal Components | |
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Some Further Topics | |
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Exercises | |
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The Structure of Multivariate Observations: II. Factor Analysis | |
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Introduction | |
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The Mathematical Model for Factor Analysis | |
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Estimation of the Factor Loadings | |
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Testing the Goodness of Fit of the Factor Model | |
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Examples of Factor Analyses | |
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Factor Rotation | |
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An Alternative Model for Factor Analysis | |
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The Evaluation of Factors | |
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Models for the Dependence Structure of Ordered Responses | |
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Clustering Sampling Units | |
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Multidimensional Scaling | |
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Exercises | |
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References | |
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Tables and Charts | |
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Upper Critical Values of the Standard Normal Distribution | |
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Upper Critical Values of the Chi-squared Distribution | |
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Upper Percentage Points of the t Distribution | |
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Upper Percentage Points of the F Distribution | |
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The Fisher z Transformation | |
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Minimum Sample Sizes for a Single-Sample Repeated Measures Design | |
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Charts 1-8: Power Functions of the F Test | |
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Charts 9-16 and Table 7-15: Upper percentage points of the largest characteristic root | |
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Data Sets | |
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Wechsler Adult Intelligence Scale subtest scores | |
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Iris Species Petal and Sepal Measurements | |
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Obesity Study Biochemical Levels | |
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Financial Ratios of Solvent and Financially Distressed Property Liability Insurers | |
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Financial Ratios of Bankrupt and Solvent Companies | |
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Dimensions and Characteristics of Winged Aphids (Alate adelges) | |
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Exchangeable Cations in Forest Soil | |
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Average Instructor and Course Evaluations for Business School Faculty Members | |
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Name Index | |
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Subject Index | |