Graphical Exploratory Data Analysis

Paperback (Softcover reprint of the original 1st ed. 1986)
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Product Details

  • ISBN-13: 9781461293712
  • Publisher: Springer New York
  • Publication date: 7/31/2012
  • Series: Springer Texts in Statistics Series
  • Edition description: Softcover reprint of the original 1st ed. 1986
  • Edition number: 1
  • Pages: 314
  • Product dimensions: 6.14 (w) x 9.21 (h) x 0.69 (d)

Table of Contents

1 The Role of Graphics in Data Exploration.- 1. Introduction.- 2. Historical Background.- 3. Content of the Book.- 4. Central Data Sets.- 5. Different Types of Data.- 6. Computer Programs.- 2 Graphics for Univariate and Bivariate Data.- 1. Introduction.- 2. Graphics for Univariate Data.- 3. Stem-and-Leaf Plots.- 4. Graphics for Bivariate Data.- 5. Graphical Perception.- 3 Graphics for Selecting a Probability Model.- 1. Introduction.- 2. Discrete Models.- 3. Continuous Models.- 4. General.- 4 Visual Representation of Multivariate Data.- 1. Introduction.- 2. “Scatterplots” in More Than Two Dimensions.- 3. Profiles.- 4. Star Representations.- 5. Glyphs.- 6. Boxes.- 7. Andrews’ Curves.- 8. Chernoff Faces.- 9. General.- 5 Cluster Analysis.- 1. Introduction.- 2. The Probability Approach.- 3. Measures of Distance and Similarity.- 4. Hierarchical Cluster Analysis.- 5. Computer Programs for Hierarchical Cluster Analysis.- 6. Digraphs.- 7. Spanning Trees.- 8. Cluster Analysis of Variables.- 9. Application of Cluster Analysis to Fitness/Cholesterol Data.- 10. Other Graphical Techniques of Cluster Analysis.- 11. General.- 6 Multidimensional Scaling.- 1. Introduction.- 2. The Biplot.- 3. Principal Component Analysis.- 4. Correspondence Analysis.- 5. Classical (Metric) Scaling.- 6. Non-Metric Scaling.- 7. Three-Way Multidimensional Scaling (INDSCAL).- 8. Guttman’s Techniques.- 9. Facet Theory.- 10. Partial Order Scalogram Analysis.- 11. General.- 7 Graphical Representations in Regression Analysis.- 1. Introduction.- 2. The Scatterplot.- 3. Residual Plots.- 4. Mallows’ Q-Statistic.- 5. Confidence and Forecast Bands.- 6. The Ridge Trace.- 7. General.- 8 CHAID and XAID: Exploratory Techniques for Analyzing Extensive Data Sets.- 1. Introduction.- 2. CHAID—An Exploratory Technique for Analyzing Categorical Data.- 3. Applying a CHAID Analysis.- 4. XAID—An Exploratory Technique for Analyzing a Quantitative Dependent Variable with Categorical Predictors.- 5. Application of XAID Analysis.- 6. General.- 9 Control Charts.- 1. Introduction.- 2. Process Capability.- 3. Control Charts for Items with Quantitative Characteristics.- 4. Control Charts for Dichotomous Measurements (P-Chart).- 5. Cumulative Sum Charts.- 6. Cumulative Sine Charts.- 7. General.- 10 Time Series Representations.- 1. Representations in the Time Domain.- 2. Representations in the Frequency Domain.- 11 Further Useful Graphics.- 1. Graphics for the Two-Sample Problem.- 2. Graphical Techniques in Analysis of Variance.- 3. Four-Fold Circular Display of 2 x 2 Contingency Tables.- References.- Inde.

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