Applied multivariate statistical analysis /
For courses in Multivariate Statistics, Marketing Research, Intermediate Business Statistics, Statistics in Education, and graduate-level courses in Experimental Design and Statistics. Appropriate for experimental scientists in a variety of disciplines, this market-leading text offers a readable int...
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Other Authors: | |
Format: | Book |
Language: | English |
Published: |
Edinburgh Gate :
Pearson,
2014
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Edition: | 6th ed. |
Subjects: |
- 1. Aspects of multivariate analysis
- 2. Sample geometry and random sampling
- 3. Matrix algebra and random vectors
- 4. The multivariate normal distribution
- 5. Inferences about a mean vector
- 6. Comparisons of several multivariate means
- 7. Multivariate linear regressions models
- 8. Principal components
- 9. Factor analysis and inference for structured covariance matrices
- 10. Canonical correlation analysis
- 11. Discrimination and classification
- 12. Clustering, distance methods and ordination
- Appendix.