Graphical Representation of Multivariate Data
eBook - PDF

Graphical Representation of Multivariate Data

  1. 288 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Graphical Representation of Multivariate Data

About this book

Graphical Representation of Multivariate Data is a collection of papers that explores and expands the use of graphical methods to represent multivariate data. One paper explains the application of the graphical representation of k-dimensional data technique as a statistical tool to analyze Soviet foreign policy. The technique encompasses data files, data modifications, and transformations of Soviet foreign policy in 25 countries from 1964 to 1975. The Faces methodology (a representation of multidimensional data developed by Herman Chernoff) analyzes ten sets of these data. Another paper describes the Faces techniques, Andrew's sine curves, Anderson's metroglyphs, which are then compared to Facial representations. Examples show the application of Chernoff Faces at the Los Alamos Scientific Laboratory. The paper considers the technique's main drawback—subjectivity—as a positive feature that can be overcome. Another paper agrees that computer-generated faces are a good representations to induce actions on tasks based on multivariate metrical data, The paper also acknowledges that the stereotyping of faces can be useful when making a display. One paper investigates the responsiveness to facial and verbal cues using the Syracuse person perception tool as a measuring tool. The collection is suitable for investigators, professors, or students in mathematics, computer science, or engineering courses. It will also be very helpful for researchers involved in graphical display of multivariate data from a wide range of different fields such as statistics, economics, regional planning, clinical research, social/political science, psychiatric studies, international relations, international trade, and arms transfer.

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Yes, you can access Graphical Representation of Multivariate Data by Peter C. C. Wang in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2014
Print ISBN
9780127347509
eBook ISBN
9781483273969
Topic
Mathematics
Subtopic
Probability & Statistics
Index
Mathematics

Table of contents

  1. Front Cover
  2. Graphical Representation of Multivariate Data
  3. Copyright Page
  4. Table of Contents
  5. LIST OF CONTRIBUTORS
  6. PREFACE
  7. CHAPTER 1. GRAPHICAL REPRESENTATIONS AS A DISCIPLINE
  8. CHAPTER 2. APPLICATION OF GRAPHICAL MULTIVARIATE TECHNIQUES IN POLICY SCIENCES
  9. CHAPTER 3. GRAPHICS: FROM ALPHA TO OMEGA IN DATA ANALYSIS
  10. CHAPTER 4. ON CHERNOFF FACES
  11. CHAPTER 5. A COMPARISON OF GRAPHICAL REPRESENTATIONS OF MULTIDIMENSIONAL PSYCHIATRIC DIAGNOSTIC DATA
  12. CHAPTER 6. FACIAL REPRESENTATION OF MULTIVARIATE DATA
  13. CHAPTER 7. MULTIVARIATE DENSITY ESTIMATION BY DISCRETE MAXIMUM PENALIZED LIKELIHOOD METHODS
  14. CHAPTER 8. SOME APPLICATIONS OF THE "CHERNOFF FACES": A TECHNIQUE FOR GRAPHICALLY REPRESENTING MULTIVARIATE DATA
  15. CHAPTER 9. A MULTIVARIATE GRAPHIC DISPLAY FOR REGIONAL ANALYSIS
  16. CHAPTER 10. THE SYRACUSE PERSON PERCEPTION TEST: A MEASURE OF RESPONSIVENESS TO FACIAL AND VERBAL CUES
  17. CHAPTER 11. A STATISTICAL MULTIDIMENSIONAL SCALING METHOD BASED ON THE SPATIAL THEORY OF VOTING