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Applied multivariate statistical analysis

A state of the art presentation of the tools and concepts of multivariate data analysis with a strong focus on applications. The first part is devoted to graphical techniques describing the distributions of the involved variables. The second part deals with multivariate random variables and presents distributions, estimators and tests for various practical situations. The last part covers multivariate techniques and introduces the reader into the wide variety of tools for multivariate data analysis

Statement of Responsibility
Author(s) Wolfgang Hardle - Personal Name
Leopold Simar - Personal Name
Edition 2nd.ed
Call Number [KOM-LIB-188]
Subject(s) Multivariate analysis.
Language English
Publisher Springer
Publishing Year 2007
Specific Detail Info 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.
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