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Applied multivariate statistical analysis

By: Hardle, WolfgangContributor(s): Simar, LeopoldMaterial type: Text

Contents:

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 --

Summary: "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."--Jacket.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Lending Books	Pampaimadu Stacks	Reference	519.535 HAR (Browse shelf(Opens below))	Available		012093

Total holds: 0

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Previous	519.5076 HAC Test Bank: To Accompany Introductory Statistics	519.52076 HAD Solutions manual to accompany sampling of populations : methods and applications ; by Paul S. Levy and Stanley Lemeshow	519.532 EVE Finite mixture distributions	519.535 HAR Applied multivariate statistical analysis	519.535 JOH Applied Multivariate Statistical Analysis	519.54 RAD Linear Statistical Inference and Its Applications	519.54 SAX Statistical inference	Next

Includes Bibliography & Index

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 --

"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."--Jacket.

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