Applied multivariate statistics with R /
This book brings the power of multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source, shareware program R, Professor Zelterman demonstrates the process and outcomes for a wide array of multiv...
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Format: | eBook |
Language: | English |
Published: |
Cham
Springer International Publishing Imprint: Springer
2015.
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Series: | Statistics for Biology and Health,
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Online Access: | Click here to view the full text content |
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Table of Contents:
- Introduction.- Elements of R
- Graphical Displays
- Basic Linear Algebra
- The Univariate Normal Distribution
- Bivariate Normal Distribution
- Multivariate Normal Distribution
- Factor Methods
- Multivariate Linear Regression
- Discrimination and Classification
- Clustering
- Time Series Models
- Other Useful Methods
- References
- Appendix
- Selected Solutions
- Index.