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Applied Multivariate Statistical Analysis

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概要 This textbook presents the tools and concepts used in multivariate data analysis in a style accessible for non-mathematicians and practitioners. All chapters include practical exercises that highlight... applications in different multivariate data analysis fields, and all the examples involve high to ultra-high dimensions and represent a number of major fields in big data analysis. For this new edition, the book has been updated and extensively revised and now includes an extended chapter on cluster analysis. All solutions to the exercises are supplemented by R and MATLAB or SAS computer code and can be downloaded from the Quantlet platform. Practical exercises from this book and their solutions can also be found in the accompanying Springer book by W.K. Härdle and Z. Hlávka: Multivariate Statistics - Exercises and Solutions. The Quantlet platform, quantlet.de, quantlet.com, quantlet.org, is an integrated QuantNet environment consisting of different types of statistics-related documents and program codes. Its goal is to promote reproducibility and offer a platform for sharing validated knowledge native to the social web. QuantNet and the corresponding data-driven document-based visualization allow readers to reproduce the tables, pictures and calculations presented in this Springer book.続きを見る
目次 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
Part IV Appendix
A Symbols and Notations
B Data
Index
References.
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本文を見る Full text available from Springer Mathematics and Statistics eBooks 2019 English/International

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登録日 2020.06.27
更新日 2020.06.28