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Methods of multivariate analysis
Abstract
Introduction. Matrix Algebra. Characterizing and Displaying Multivariate Data. The Multivariate Normal Distribution. Tests on One or Two Mean Vectors. Multivariate Analysis of Variance. Tests on Covariance Matrices. Discriminant Analysis: Description of Group Separation. Classification Analysis: Allocation of Observations to Groups. Multivariate Regression. Canonical Correlation. Principal Component Analysis. Factor Analysis. Cluster Analysis. Graphical Procedures. Tables. Answers and Hints to Problems. Data Sets and SAS Files. References. Index.
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GUDYKUNST, W. B., MATSUMOTO, Y., TING-TOOMEY, S., NISHIDA, T., KIM, K., & HEYMAN, S. (1996) · Human Communication Research · doi:10.1111/j.1468-2958.1996.tb00377.x · Cited by 1,100
Pain intensity processing within the human brain: a bilateral, distributed mechanism
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Metadata
- Venue
- Choice Reviews Online
- Publisher
- American Library Association
- Published
- 1995-11-01
- Volume
- 33
- Issue
- 03
- Pages
- 33-1586-33-1586
- ISSN
- 0009-4978 (ISSN-L)
- 1523-8253
- OpenAlex
- W2795739367
- Cited by
- 2,281
- References
- 0
- Type
- book review
- Language
- en
- Open access
- closed
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