Applied multivariate statistical analysis
By Richard Arnold Johnson
"Applied multivariate statistical analysis" is published by Prentice Hall in 1992 - Englewood Cliffs, N.J, it has 642 pages and the language of the book is English.
“Applied multivariate statistical analysis” Metadata:
- Title: ➤ Applied multivariate statistical analysis
- Author: Richard Arnold Johnson
- Language: English
- Number of Pages: 642
- Publisher: Prentice Hall
- Publish Date: 1992
- Publish Location: Englewood Cliffs, N.J
“Applied multivariate statistical analysis” Subjects and Themes:
- Subjects: ➤ Multivariate analysis - Analyse statistique - Multivariate analyse - Analyse multivariee - Qa278 .j63 2002 - 519.5/35 - Mathematics - Probability & statistics
Edition Specifications:
- Pagination: xiv, 642 p. :
Edition Identifiers:
- The Open Library ID: OL1561389M - OL2734172W
- Online Computer Library Center (OCLC) ID: 24955047
- Library of Congress Control Number (LCCN): 91042721
- ISBN-10: 0130417734
- All ISBNs: 0130417734
AI-generated Review of “Applied multivariate statistical analysis”:
Read “Applied multivariate statistical analysis”:
Read “Applied multivariate statistical analysis” by choosing from the options below.
Search for “Applied multivariate statistical analysis” downloads:
Visit our Downloads Search page to see if downloads are available.
Borrow "Applied multivariate statistical analysis" Online:
Check on the availability of online borrowing. Please note that online borrowing has copyright-based limitations and that the quality of ebooks may vary.
- Is Online Borrowing Available: Yes
- Preview Status: restricted
- Check if available: The Open Library & The Internet Archive
Find “Applied multivariate statistical analysis” in Libraries Near You:
Read or borrow “Applied multivariate statistical analysis” from your local library.
- The WorldCat Libraries Catalog: Find a copy of “Applied multivariate statistical analysis” at a library near you.
Buy “Applied multivariate statistical analysis” online:
Shop for “Applied multivariate statistical analysis” on popular online marketplaces.