Applied Multivariate Statistical Analysis [electronic resource] /

Most of the observable phenomena in the empirical sciences are of multivariate nature. This book presents the tools and concepts of multivariate data analysis with a strong focus on applications. The text is devided into three parts. 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 from a theoretical point of view distributions, estimators and tests for various practical situations. The last part covers multivariate techniques and introduces the reader into the wide basket of tools for multivariate data analysis. The text presents a wide range of examples and 228 exercises.

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Main Authors: Härdle, Wolfgang. author., Simar, Léopold. author., SpringerLink (Online service)
Format: Texto biblioteca
Language:eng
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003
Subjects:Mathematics., Probabilities., Statistics., Economic theory., Probability Theory and Stochastic Processes., Statistical Theory and Methods., Statistics for Business/Economics/Mathematical Finance/Insurance., Economic Theory/Quantitative Economics/Mathematical Methods.,
Online Access:http://dx.doi.org/10.1007/978-3-662-05802-2
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spelling KOHA-OAI-TEST:2083312018-07-30T23:38:59ZApplied Multivariate Statistical Analysis [electronic resource] / Härdle, Wolfgang. author. Simar, Léopold. author. SpringerLink (Online service) textBerlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer,2003.engMost of the observable phenomena in the empirical sciences are of multivariate nature. This book presents the tools and concepts of multivariate data analysis with a strong focus on applications. The text is devided into three parts. 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 from a theoretical point of view distributions, estimators and tests for various practical situations. The last part covers multivariate techniques and introduces the reader into the wide basket of tools for multivariate data analysis. The text presents a wide range of examples and 228 exercises.I Descriptive Techniques -- 1 Comparison of Batches -- 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 -- III Multivariate Techniques -- 8 Decomposition of Data Matrices by Factors -- 9 Principal Components Analysis -- 10 Factor Analysis -- 11 Cluster Analysis -- 12 Discriminant Analysis -- 13 Correspondence Analysis -- 14 Canonical Correlation Analysis -- 15 Multidimensional Scaling -- 16 Conjoint Measurement Analysis -- 17 Applications in Finance -- 18 Highly Interactive, Computationally Intensive Techniques -- A Symbols and Notation -- B Data -- B.1 Boston Housing Data -- B.2 Swiss Bank Notes -- B.3 Car Data -- B.4 Classic Blue Pullovers Data -- B.5 U.S. Companies Data -- B.6 French Food Data -- B.7 Car Marks -- B.8 French Baccalauréat Frequencies -- B.9 Journaux Data -- B.10 U.S. Crime Data -- B.11 Plasma Data -- B.12 WAIS Data -- B.13 ANOVA Data -- B.14 Timebudget Data -- B.15 Geopol Data -- B.16 U.S. Health Data -- B.17 Vocabulary Data -- B.18 Athletic Records Data -- B.19 Unemployment Data -- B.20 Annual Population Data.Most of the observable phenomena in the empirical sciences are of multivariate nature. This book presents the tools and concepts of multivariate data analysis with a strong focus on applications. The text is devided into three parts. 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 from a theoretical point of view distributions, estimators and tests for various practical situations. The last part covers multivariate techniques and introduces the reader into the wide basket of tools for multivariate data analysis. The text presents a wide range of examples and 228 exercises.Mathematics.Probabilities.Statistics.Economic theory.Mathematics.Probability Theory and Stochastic Processes.Statistical Theory and Methods.Statistics for Business/Economics/Mathematical Finance/Insurance.Economic Theory/Quantitative Economics/Mathematical Methods.Springer eBookshttp://dx.doi.org/10.1007/978-3-662-05802-2URN:ISBN:9783662058022
institution COLPOS
collection Koha
country México
countrycode MX
component Bibliográfico
access En linea
En linea
databasecode cat-colpos
tag biblioteca
region America del Norte
libraryname Departamento de documentación y biblioteca de COLPOS
language eng
topic Mathematics.
Probabilities.
Statistics.
Economic theory.
Mathematics.
Probability Theory and Stochastic Processes.
Statistical Theory and Methods.
Statistics for Business/Economics/Mathematical Finance/Insurance.
Economic Theory/Quantitative Economics/Mathematical Methods.
Mathematics.
Probabilities.
Statistics.
Economic theory.
Mathematics.
Probability Theory and Stochastic Processes.
Statistical Theory and Methods.
Statistics for Business/Economics/Mathematical Finance/Insurance.
Economic Theory/Quantitative Economics/Mathematical Methods.
spellingShingle Mathematics.
Probabilities.
Statistics.
Economic theory.
Mathematics.
Probability Theory and Stochastic Processes.
Statistical Theory and Methods.
Statistics for Business/Economics/Mathematical Finance/Insurance.
Economic Theory/Quantitative Economics/Mathematical Methods.
Mathematics.
Probabilities.
Statistics.
Economic theory.
Mathematics.
Probability Theory and Stochastic Processes.
Statistical Theory and Methods.
Statistics for Business/Economics/Mathematical Finance/Insurance.
Economic Theory/Quantitative Economics/Mathematical Methods.
Härdle, Wolfgang. author.
Simar, Léopold. author.
SpringerLink (Online service)
Applied Multivariate Statistical Analysis [electronic resource] /
description Most of the observable phenomena in the empirical sciences are of multivariate nature. This book presents the tools and concepts of multivariate data analysis with a strong focus on applications. The text is devided into three parts. 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 from a theoretical point of view distributions, estimators and tests for various practical situations. The last part covers multivariate techniques and introduces the reader into the wide basket of tools for multivariate data analysis. The text presents a wide range of examples and 228 exercises.
format Texto
topic_facet Mathematics.
Probabilities.
Statistics.
Economic theory.
Mathematics.
Probability Theory and Stochastic Processes.
Statistical Theory and Methods.
Statistics for Business/Economics/Mathematical Finance/Insurance.
Economic Theory/Quantitative Economics/Mathematical Methods.
author Härdle, Wolfgang. author.
Simar, Léopold. author.
SpringerLink (Online service)
author_facet Härdle, Wolfgang. author.
Simar, Léopold. author.
SpringerLink (Online service)
author_sort Härdle, Wolfgang. author.
title Applied Multivariate Statistical Analysis [electronic resource] /
title_short Applied Multivariate Statistical Analysis [electronic resource] /
title_full Applied Multivariate Statistical Analysis [electronic resource] /
title_fullStr Applied Multivariate Statistical Analysis [electronic resource] /
title_full_unstemmed Applied Multivariate Statistical Analysis [electronic resource] /
title_sort applied multivariate statistical analysis [electronic resource] /
publisher Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer,
publishDate 2003
url http://dx.doi.org/10.1007/978-3-662-05802-2
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