Applied Multivariate Statistical Analysis: Pearson New International Edition

Author: Richard A. Johnson,Dean W. Wichern

Publisher: Pearson Higher Ed

ISBN: 1292037571

Category: Psychology

Page: 776

View: 4864

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For courses in Multivariate Statistics, Marketing Research, Intermediate Business Statistics, Statistics in Education, and graduate-level courses in Experimental Design and Statistics. Appropriate for experimental scientists in a variety of disciplines, this market-leading text offers a readable introduction to the statistical analysis of multivariate observations. Its primary goal is to impart the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Ideal for a junior/senior or graduate level course that explores the statistical methods for describing and analyzing multivariate data, the text assumes two or more statistics courses as a prerequisite.
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Applied Multivariate Statistical Analysis

Author: Wolfgang Karl Härdle,Léopold Simar

Publisher: Springer

ISBN: 3662451719

Category: Business & Economics

Page: 580

View: 6832

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Focusing on high-dimensional applications, this 4th edition presents the tools and concepts used in multivariate data analysis in a style that is also accessible for non-mathematicians and practitioners. All chapters include practical exercises that highlight applications in different multivariate data analysis fields. All of the examples involve high to ultra-high dimensions and represent a number of major fields in big data analysis. The fourth edition of this book on Applied Multivariate Statistical Analysis offers the following new features: A new chapter on Variable Selection (Lasso, SCAD and Elastic Net) All exercises are supplemented by R and MATLAB code that can be found on www.quantlet.de. The practical exercises include solutions that can be found in Härdle, W. and Hlavka, Z., Multivariate Statistics: Exercises and Solutions. Springer Verlag, Heidelberg.
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Applied Multivariate Statistical Analysis

Author: Wolfgang Karl Härdle,Léopold Simar

Publisher: Springer Science & Business Media

ISBN: 3540722440

Category: Mathematics

Page: 458

View: 5275

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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. 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.
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Applied Multivariate Statistical Analysis

Author: Richard Arnold Johnson,Dean W. Wichern

Publisher: N.A

ISBN: 9780131219731

Category: Multivariate analysis

Page: 767

View: 3460

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For an undergraduate or graduate level course that explores the statistical methods for describing and analyzing multivariate data. Appropriate for experimental scientists in a variety of disciplines, this text offers a readable introduction to the statistical analysis of multivariate observations.
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Applied Multivariate Statistical Analysis

Author: Richard Arnold Johnson

Publisher: N.A

ISBN: 9780138341947

Category: Mathematics

Page: 816

View: 6902

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This market leading text provides experimental scientists in a wide variety of disciplines with a readable introduction to the statistical analysis of multivariate observations. Its overarching goal is to provide readers with the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. The Fourth Edition has been revised to take greater advantage of graphical displays of multivariate data and of statistical software programs that facilitate the analysis of complex data. *NEW - Graphical displays of multivariate data moved from Chapter 12 to chapter 1 and many new illustrations and graphics have been added to provide a more visual approach to the subject. *NEW - discussions of important topics including: - Detecting Outliers and Data Cleaning in Chapter 4.- Multivariate Quality Control in Chapter 5. - Monitoring Quality with Principal Components in Chapter 8.- Correspondence Analysis, Biplots, and Procrustes Analysis in Chapter 12. *NEW - Expanded coverage of the following topics: Generalized variance, Assessing normality and transformations to normality, Repeated measures designs, Model checking and other aspects of regre
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Applied Multivariate Statistical Analysis - Summaries of theory and Exercises solved

Author: Mercedes Orœs Lacort

Publisher: Lulu.com

ISBN: 1291886109

Category: Technology & Engineering

Page: 124

View: 5638

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Applied Multivariate Statistical Analysis, is a book that is intended for university students of any college. You'll find theory as summaries, and exercises solved, on the following topics: Multiple Linear Regression, Principal Component Analysis (without and with Varimax rotation), Analysis of Hierarchical Cluster, Discriminant Analysis, and Single and Multiple Correspondence Analysis. The Minitab Statistical package, have been used in the resolution of problems.
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Applied Multivariate Statistical Analysis

Author: Wolfgang Karl Härdle,Léopold Simar

Publisher: Springer Science & Business Media

ISBN: 3662058022

Category: Mathematics

Page: 486

View: 3508

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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 mulivariate techniques and introduces the reader into the wide variety of tools for multivariate data analysis. The text presents a wide range of examples and 228 exercises.
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Applied Multivariate Statistical Analysis (Classic Version)

Author: Richard A. Johnson,Dean W. Wichern

Publisher: Pearson

ISBN: 9780134995397

Category: Multivariate analysis

Page: 808

View: 1796

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This title is part of the Pearson Modern Classics series. Pearson Modern Classics are acclaimed titles at a value price. Please visit www.pearsonhighered.com/math-classics-series for a complete list of titles. For courses in Multivariate Statistics, Marketing Research, Intermediate Business Statistics, Statistics in Education, and graduate-level courses in Experimental Design and Statistics. Appropriate for experimental scientists in a variety of disciplines, this market-leading text offers a readable introduction to the statistical analysis of multivariate observations. Its primary goal is to impart the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Ideal for a junior/senior or graduate level course that explores the statistical methods for describing and analyzing multivariate data, the text assumes two or more statistics courses as a prerequisite.
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Applied Multivariate Statistical Analysis

Author: Richard A. Johnson,Richard Arnold Johnson,Dean W. Wichern

Publisher: N.A

ISBN: N.A

Category: Analyse multivariée

Page: 642

View: 783

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Explores the statistical methods for describing and analyzing multivariate data. It's goal is to provide readers with the knowledge necessary to make proper interpretations, and select appropriate techniques for analyzing multivariate data Coverage includes: Detecting Outliers and Data Cleaning; Multivariate Quality Control; Monitoring Quality with Principal Components; and Correspondence Analysis, Biplots, and Procrustes Analysis.
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