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Multivariate Data Analysis (5th Edition)
US $25.99
Approximately£19.57
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Acceptable
A book with obvious wear. May have some damage to the book cover but the book is still completely intact. The binding may be slightly damaged around the edges but it is still completely intact. May have some underlining and highlighting of text and some writing in the margins, but there are no missing pages or anything else that would compromise the readability or legibility of the text. See the seller’s listing for full details and description of any imperfections.
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eBay item number:204129389819
Item specifics
- Condition
- 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
- 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
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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