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Essentials of Multivariate Data Analysis

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""... this text provides an overview at an introductory level of several methods in multivariate data analysis. It contains in-depth examples from one data set woven throughout the text, and a free [Excel] Add-In to perform the analyses in Excel, with step-by-step instructions provided for each technique. ... could be used as a text (possibly supplemental) for courses in other fields where Read more...

Abstract: ""... this text provides an overview at an introductory level of several methods in multivariate data analysis. It contains in-depth examples from one data set woven throughout the text, and a free [Excel] Add-In to perform the analyses in Excel, with step-by-step instructions provided for each technique. ... could be used as a text (possibly supplemental) for courses in other fields where researchers wish to apply these methods without delving too deeply into the underlying statistics.""
-The American Statistician, February 2015

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Author(s): Spencer, Neil H
Publisher: CRC Press
Year: 2013

Language: English
Pages: 180
City: Hoboken
Tags: Математика;Теория вероятностей и математическая статистика;Математическая статистика;

Content: Preface
1 Frequently Asked Questions
1.1 What Questions?
1.2 What Analysis Should I Use?
1.3 What Data Do I Need?
1.4 What Data Is the Author Using in This Book?
1.5 What about Missing Data?
1.6 What about Other Topics?
1.7 What about Computer Packages?
2 Graphical Presentation of Multivariate Data
2.1 Why Do I Want to Do Graphical Presentations ofMultivariate Data?
2.2 What Data Do I Need for Graphical Presentations ofMultivariate Data?
2.3 The Rest of This Chapter
2.4 Comparable Histograms 2.5 A Step-by-Step Guide to ObtainingComparable Histograms Using the Excel Add-In2.6 Multiple Box Plots
2.7 A Step-by-Step Guide to ObtainingMultiple Box Plots Using the Excel Add-In
2.8 Trellis Plot
2.9 A Step-by-Step Guide to Obtaining a Trellis Plot Usingthe Excel Add-In
2.10 Star Plots
2.11 Chernoff Faces
2.12 Andrews' Plots
2.13 A Step-by-Step Guide to Obtaining Andrews' Plots Usingthe Excel Add-In
2.14 Principal Components Plot
2.15 A Step-by-Step Guide to Obtaining a Principal Components Plot Using the Excel Add-In
2.16 More Information
3 Multivariate Tests of Significance 3.1 Why Do I Want to Do Multivariate Tests of Significance?3.2 What Data Do I Need for Multivariate Tests of Significance?
3.3 The Rest of This Chapter
3.4 Comparing Two Vectors of Means
3.5 Comparing Two Covariance Matrices
3.6 Comparing More than Two Vectors of Means
3.7 Comparing More than Two Covariance Matrices
3.8 More Information
4 Factor Analysis
4.1 Why Do I Want to Do Factor Analysis?
4.2 What Data Do I Need for Factor Analysis?
4.3 The Rest of This Chapter
4.4 How Do We Extract the Factors?
4.5 Interpreting the Results of a PCA Factor Analysis 4.6 How Many Factors Are There?4.7 Interpreting the Results of a PAF Factor Analysis
4.8 Communalities Briefly Revisited
4.9 Rotating Factor Loadings
4.10 So Which Solution Do We Believe?
4.11 Factor Scores
4.12 A Step-by-Step Guide to Factor Analysis Usingthe Excel Add-In
4.13 More Information
5 Cluster Analysis
5.1 Why Do I Want to Do Cluster Analysis?
5.2 What Data Do I Need for Cluster Analysis?
5.3 The Rest of This Chapter
5.4 How Do We Decide How Close Together Two Cases Are?
5.5 How Do We Decide How Close Together TwoClusters Are? 5.6 How Do We Decide Which DistanceMeasure and Linkage Method to Use?5.7 How Do We Decide How Many Clusters There Are?
5.8 Interpreting Clusters
5.9 Non-Hierarchical Cluster Analysis
5.10 A Step-by-Step Guide to Cluster Analysis Using the Excel Add-In
5.11 More Information
6 Discriminant Analysis
6.1 Why Do I Want to Do Discriminant Analysis?
6.2 What Data Do I Need for Discriminant Analysis?
6.3 The Rest of This Chapter
6.4 How Do We Decide How Close a Case Is to DifferentGroups?
6.5 Allocating Individual Cases to Groups
6.6 Which Variables Discriminate between Groups?