Graphical Representation of Multivariate Data - 1st Edition - ISBN: 9780127347509, 9781483273969

Graphical Representation of Multivariate Data

1st Edition

Editors: Peter C. C. Wang
eBook ISBN: 9781483273969
Imprint: Academic Press
Published Date: 28th November 1978
Page Count: 288
Sales tax will be calculated at check-out Price includes VAT/GST
25% off
25% off
25% off
25% off
25% off
20% off
20% off
25% off
25% off
25% off
25% off
25% off
20% off
20% off
25% off
25% off
25% off
25% off
25% off
20% off
20% off
54.95
41.21
41.21
41.21
41.21
41.21
43.96
43.96
72.95
54.71
54.71
54.71
54.71
54.71
58.36
58.36
43.99
32.99
32.99
32.99
32.99
32.99
35.19
35.19
Unavailable
Price includes VAT/GST
× DRM-Free

Easy - Download and start reading immediately. There’s no activation process to access eBooks; all eBooks are fully searchable, and enabled for copying, pasting, and printing.

Flexible - Read on multiple operating systems and devices. Easily read eBooks on smart phones, computers, or any eBook readers, including Kindle.

Open - Buy once, receive and download all available eBook formats, including PDF, EPUB, and Mobi (for Kindle).

Institutional Access

Secure Checkout

Personal information is secured with SSL technology.

Free Shipping

Free global shipping
No minimum order.

Description

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.

Table of Contents


List of Contributors

Preface

Graphical Representations as a Discipline

Application of Graphical Multivariate Techniques in Policy Sciences

Graphica: From Alpha to Omega in Data Analysis

On Chernoff Faces

A Comparison of Graphical Representations of Multidimensional Psychiatric Diagnostic Data

Facial Representation of Multivariate Data

Multivariate Density Estimation by Discrete Maximum Penalized Likelihood Methods

Some Applications of the "Chernoff Faces": A Technique for Graphically Representing Multivariate Data

A Multivariate Graphic Display for Regional Analysis

The Syracuse Person Perception Test: A Measure of Responsiveness to Facial and Verbal Cues

A Statistical Multidimensional Scaling Method Based on the Spatial Theory of Voting

Details

No. of pages:
288
Language:
English
Copyright:
© Academic Press 1978
Published:
Imprint:
Academic Press
eBook ISBN:
9781483273969

About the Editor

Peter C. C. Wang

Ratings and Reviews