Quantitative Methods for Business (QM - Quantitative Methods Ser.) Hardback - 1998
by Anderson, David R.; Sweeney, Dennis J.; Williams, Thomas A
- Used
- Good
- Hardback
A$164.20
A$7.30
Delivery within USA
Standard delivery: 7 to 14 days
More delivery options
Standard delivery: 7 to 14 days
Ships from Infospec (California, United States)
Details
- Title Quantitative Methods for Business (QM - Quantitative Methods Ser.)
- Author Anderson, David R.; Sweeney, Dennis J.; Williams, Thomas A
- Binding Hardback
- Edition [ Edition: seven
- Condition Used - Good
- Pages 834
- Volumes 1
- Language ENG
- Publisher South Western Educational Publishing, Mason, OH, U.S.A.
- Publication date 1998
- Bookseller's Inventory # 001690
- ISBN 9780538876018 / 0538876018
- Category Business / Economics / Finance
- Library of Congress subjects Management science
- Library of Congress Catalogue Number 97016589
- Dewey Decimal Code 658.403
- Quantity available 1
About Infospec California, United States
Specialising in: Black History, Chinese History, Cooking, Jewish Histroy, Politics, Ethnic History, Sexuality
Biblio member since 1999
We have books on most subjects, however we do have a
large selection of Chinese History, Jewish History, and African History to choose from.
Payment Terms:
Visa, MC,Discover and Amex are accepted
Checks, Money Orders and Gold
Books remain the property of bbc@laflea.com until payment is made in full.
Reader reviews for Quantitative Methods for Business (QM - Quantitative Methods Ser.)
Write a review for this book
Important Terms and Guidelines
- Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
- Reviews must be at least 140 characters in length.
- Please do not reveal critical plot elements.
- This is not a help line. Contact customer support if you need help.
Your review must not include:
- Obscenities, discriminatory language, or other insulting language not suitable for public domain
- Advertisements, “spam” content, or references to other products, offers or websites.
- Email addresses, URLs, phone numbers, physical addresses or other contact information.
- Overly critical comments about other reviews or reviewers
- Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
- Availability, price, or alternative ordering/shipping information