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Multivariate Data Analysis (5th Edition)

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Item specifics

Condition
Acceptable: A book with obvious wear. May have some damage to the cover but integrity still intact. ...
EAN
9780138948580
Book Title
Multivariate Data Analysis (5th Edition)
ISBN
9780138948580
Subject Area
Mathematics, Business & Economics
Publication Name
Multivariate Data Analysis
Publisher
Prentice Hall PTR
Item Length
10.3 in
Subject
Probability & Statistics / Multivariate Analysis, Statistics
Publication Year
1998
Type
Textbook
Format
Hardcover
Language
English
Item Height
1.2 in
Author
Rolph E. Anderson, Ronald L. Tatham, William Black, Joseph F. Hair
Item Weight
55.8 Oz
Item Width
8.3 in
Number of Pages
768 Pages

About this product

Product Identifiers

Publisher
Prentice Hall PTR
ISBN-10
0138948585
ISBN-13
9780138948580
eBay Product ID (ePID)
558546

Product Key Features

Number of Pages
768 Pages
Publication Name
Multivariate Data Analysis
Language
English
Publication Year
1998
Subject
Probability & Statistics / Multivariate Analysis, Statistics
Type
Textbook
Author
Rolph E. Anderson, Ronald L. Tatham, William Black, Joseph F. Hair
Subject Area
Mathematics, Business & Economics
Format
Hardcover

Dimensions

Item Height
1.2 in
Item Weight
55.8 Oz
Item Length
10.3 in
Item Width
8.3 in

Additional Product Features

Edition Number
5
Intended Audience
College Audience
LCCN
97-047031
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
519.5/35
Table Of Content
1. Introduction. I. PREPARING FOR A MULTIVARIATE ANALYSIS. 2. Examining Your Data. 3. Factor Analysis. II. DEPENDENCE TECHNIQUES. 4. Multiple Regression. 5. Multiple Discriminant Analysis and Logistic Regression. 6. Multivariate Analysis of Variance. 7. Conjoint Analysis. 8. Canonical Correlation Analysis. III. INTERDEPENDENCE TECHNIQUES. 9. Cluster Analysis. 10. Multidimensional Scaling. IV. ADVANCED AND EMERGING TECHNIQUES. 11. Structural Equation Modeling. 12. Emerging Techniques in Multivariate Analysis. Appendix A: Applications of Multivariate Data Analysis. Index.
Synopsis
Offers an applications-oriented approach to multivariate data analysis, focusing on the use of each technique, rather than its mathematical derivation. The text introduces a six-step framework for organizing and discussing techniques with flowcharts for each., For graduate-level courses in Marketing Research, Research Design and Data Analysis . Well-suited for the non-statistician, this applications-oriented introduction to multivariate analysis greatly reduces the amount of statistical notation and terminology used while focusing instead on the fundamental concepts that affect the use of specific techniques.
LC Classification Number
QA278.M85 1998

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Aloe Brandz

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