Appendix S : Biplots, Correspondence Analysis, and Principal Components Analysis / Horn Elizabeth, Ford Cindy.

Format:

Book

Author/Creator:

Elizabeth, Horn, author.

Cindy, Ford, author.

Contributor:

American Society for Testing and Materials

ASTM International.

Series:

Journal of ASTM International. Manual Series ; MNL11500M.

ASTM manual series ; MNL11500M

Language:

English

Subjects (All):

Consumers--Research--Statistical methods--Handbooks, manuals, etc.

Consumers.

Consumer goods--Evaluation--Statistical methods--Handbooks, manuals, etc.

Consumer goods.

Quality of products--Handbooks, manuals, etc.

Quality of products.

Physical Description:

1 online resource (4 pages) : illustrations, figures, tables.

Volume 2009, Issue 63 (January 2009)

Other Title:

ASTM digital library.

Place of Publication:

West Conshohocken, Pa. : ASTM International, 2009.

System Details:

Mode of access: World Wide Web.

text file PDF

Summary:

Multivariate graphical displays, also known as biplots, describe relationships among Just About Right attributes across samples. Biplots are a visual means to show multidimensional data relationships. There are many techniques that can be used to generate the necessary data for biplots, such as principal components analysis, multidimensional scaling, correspondence analysis, and discriminant analysis. Two of these methods, correspondence analysis (CA) and principal components analysis (PCA), were considered in this case study.

Notes:

"ASTM Stock Number: MNL11500M".

Includes bibliographical references 1.

Electronic reproduction. W. Conshohocken, Pa. : ASTM International, 2009. Mode of access: World Wide Web. System requirements: Web browser. Access may be restricted to users at subscribing institutions.

Description based on publisher's website, viewed May 03, 2017.

ISBN:

9780803167391 (e-ISBN)

9780803170100

0803170106

Access Restriction:

Restricted for use by site license.