Applied Multivariate Statistical Analysis

Applied Multivariate Statistical Analysis

Fengler, Matthias R.; Simar, Leopold; Haerdle, Wolfgang Karl

Springer International Publishing AG

10/2024

613

Mole

9783031638329

Pré-lançamento - envio 15 a 20 dias após a sua edição

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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.
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Multivariate Data Analysis;Multivariate Statistics;Multivariate Analysis;Dimension Reduction;Machine Learning Techniques;Variable Selection;Multivariate Classification;Cluster Analysis;Discriminant Analysis;Conjoint Measurement Analysis;Data Visualization;Hypothesis Testing;Big Data Analysis;Computationally Intensive Techniques;Lasso and Elastic Net;Projection Pursuit;Applications in Finance;Quantitative Finance