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Multivariate Statistics: A Practical Approach
Abstract
the data univariate plots and descriptive statistics scatterplot, correlation and covariance face plots multiple linear regression linear combinations linear discriminant analysis for two groups identification analysis specification analysis principal component analysis comparing the covariance structures of two groups exercises mathematical appendix.
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Cited by
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A Handbook of Statistical Analyses using R
Hothorn, T., & Everitt, B. S. (2014) · Chapman & Hall/CRC eBooks · doi:10.1201/b17081 · Cited by 585
A Pathway in Primate Brain for Internal Monitoring of Movements
Sommer, M. A., & Wurtz, R. H. (2002) · Science · doi:10.1126/science.1069590 · Cited by 565
Applied MANOVA and Discriminant Analysis
Huberty, C. J., & Olejnik, S. (2006) · Wiley Series in Probability and Statistics · doi:10.1002/047178947x · Cited by 488
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Marchant, L. (2002) · Cambridge University Press eBooks · doi:10.1017/cbo9780511606397 · Cited by 366
Metadata
- Authors
- Hawkins, D. M., Flury, B., & Riedwyl, H.
- Venue
- Technometrics
- Publisher
- JSTOR
- Published
- 1990-02
- Volume
- 32
- Issue
- 1
- Pages
- 98
- ISSN
- 0040-1706 (ISSN-L)
- OpenAlex
- W2092693116
- Cited by
- 416
- References
- 0
- FWCI
- 8.51
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Multivariate Statistics: A Practical Approach. https://app.cochat.ai/papers/10.2307/1269856
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- Hawkins, D. M., Flury, B., & Riedwyl, H. (1990). Multivariate Statistics: A Practical Approach. Technometrics. https://doi.org/10.2307/1269856
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
