Multivariate Observations

1. Preliminaries.

2. Multivariate Distributions.

3. Inference for the Multivariate Normal.

4. Graphical and Data-Oriented Techniques.

5. Dimension Reduction and Ordination.

6. Discriminant Analysis.

7. Cluster Analysis.

8. Multivariate Linear Models.

9. Multivariate Analysis of Variance and Covariance.

10. Special Topics.

Appendix A: Some Matrix Algebra.

Appendix B: Orthogonal Projections.

Appendix C: Order Statistics and Probability Plotting.

Appendix D: Statistical Tables.

Outline Solutions to Exercises.

References.

Index.