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Applied multivariate statistical analysis

✍ Scribed by Wolfgang Härdle; Léopold Simar

Publisher
Springer
Year
2012
Tongue
English
Leaves
535
Edition
3ed.
Category
Library
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✦ Synopsis

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.- 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.- Bibliography.- Index

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