Applied Multivariate Statistical Analysis
Seiten
2007
|
2., nd ed.
Springer Berlin (Verlag)
978-3-540-72243-4 (ISBN)
Springer Berlin (Verlag)
978-3-540-72243-4 (ISBN)
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With a wealth of examples and exercises, this is a brand new edition of a classic work on multivariate data analysis. A key advantage of the work is its accessibility as it presents tools and concepts in a way that is understandable for non-mathematicians.
With a wealth of examples and exercises, this is a brand new edition of a classic work on multivariate data analysis. A key advantage of the work is its accessibility. This is because, in its focus on applications, the book presents the tools and concepts of multivariate data analysis in a way that is understandable for non-mathematicians and practitioners who need to analyze statistical data. In this second edition a wider scope of methods and applications of multivariate statistical analysis is introduced. All quantlets have been translated into the R and Matlab language and are made available online.
With a wealth of examples and exercises, this is a brand new edition of a classic work on multivariate data analysis. A key advantage of the work is its accessibility. This is because, in its focus on applications, the book presents the tools and concepts of multivariate data analysis in a way that is understandable for non-mathematicians and practitioners who need to analyze statistical data. In this second edition a wider scope of methods and applications of multivariate statistical analysis is introduced. All quantlets have been translated into the R and Matlab language and are made available online.
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: 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.- Application in Finance.- Computationally Intensive Techniques.- A: Symbols and Notations.- B: Data.- Bibliography.- Index.
| Sprache | englisch |
|---|---|
| Maße | 155 x 235 mm |
| Gewicht | 705 g |
| Einbandart | Paperback |
| Themenwelt | Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik |
| Schlagworte | CAPM • cluster analysis • Conjoint Measurement Analysis • hypothesis testing • Multivariate Analyse • multivariate analysis • Projection Pursuit • Sliced Inverse Regression |
| ISBN-10 | 3-540-72243-2 / 3540722432 |
| ISBN-13 | 978-3-540-72243-4 / 9783540722434 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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