Applied Multivariate Statistical Analysis
Now in its sixth edition, this textbook presents the tools and concepts used in multivariate data analysis in a style accessible for non-mathematicians and practitioners. Each chapter features hands-on exercises that showcase applications across various fields of multivariate data analysis. These ex...
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| Hlavní autoři: | , , |
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| Médium: | Elektronický zdroj E-kniha |
| Jazyk: | angličtina |
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Springer International Publishing : Imprint: Springer,
2024.
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| Vydání: | 6th ed. 2024. |
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| On-line přístup: | https://doi.org/10.1007/978-3-031-63833-6 |
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Obsah:
- Part I Descriptive Techniques
- 1 Comparison of Batches
- Part II Multivariate Random Variables
- 2 A Short Excursion into Matrix Algebra
- 3 Moving to Higher Dimensions
- 4 Multivariate Distributions
- 5 Theory of the Multinormal
- 6 Theory of Estimation
- 7 Hypothesis Testing
- Part III Multivariate Techniques
- 8 Regression Models
- 9 Variable Selection.-10 Decomposition of Data Matrices by Factors
- 11 Principal Components Analysis
- 12 Factor Analysis
- 13 Cluster Analysis
- 14 Discriminant Analysis
- 15 Correspondence Analysis
- 16 Canonical Correlation Analysis
- 17 Multidimensional Scaling
- 18 Conjoint Measurement Analysis
- 19 Applications in Finance
- 20 Computationally Intensive Techniques
- 21 Locally Linear Embedding
- 22 Stochastic Neighborhood Embedding
- 23 Uniform Manifold Approximation and Projection
- Part IV Appendix
- A Symbols and Notations
- B Data
- Index.