Applied Multivariate Statistical Analysis
Focusing on high-dimensional applications, this 4th edition presents the tools and concepts used in multivariate data analysis in a style that is also accessible for non-mathematicians and practitioners. It surveys the basic principles and emphasizes both exploratory and inferential statistics; a n...
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2015.
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| Edición: | 4th ed |
| Colección: | Springer eBooks.
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| Acceso en línea: | Conectar con la versión electrónica |
| Ver en Universidad de Navarra: | https://innopac.unav.es/record=b32929754*spi |
Tabla de Contenidos:
- I Descriptive Techniques: Comparison of Batches.- II Multivariate Random Variables: A Short Excursion into Matrix Algebra
- Moving to Higher Dimensions
- Multivariate Distributions
- Theory of the Multinormal
- Theory of Estimation
- Hypothesis Testing
- III Multivariate Techniques: Regression Models
- Variable Selection
- Decomposition of Data Matrices by Factors
- Principal Components Analysis
- Factor Analysis
- Cluster Analysis
- Discriminant Analysis
- Correspondence Analysis
- Canonical Correlation Analysis
- Multidimensional Scaling
- Conjoint Measurement Analysis
- Applications in Finance
- Computationally Intensive Techniques
- IV Appendix: Symbols and Notations
- Data.
