Quantitative Analysis for Management
United States Edition
9th Edition
Published on 28. March 2005
Book
Hardback
752 pages
978-0-13-153688-3 (ISBN)
Description
Easy to understand-even for students with limited math backgrounds, this text uses a modeling approach to provide thorough coverage of the basic techniques in quantitative methods and focuses on the managerial applications of these techniques. The book's interesting and student friendly writing style makes for a clear presentation, complete with all the necessary assumptions and mathematical details.
More details
Edition
9th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 254 mm
Width: 203 mm
ISBN-13
978-0-13-153688-3 (9780131536883)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Barry Render | Ralph M. Stair | Michael E. Hanna
Quantitative Analysis for Management with CD
United States Edition
Book
05/2005
9th Edition
Pearson
€64.53
Article exhausted; check for reprint
Content
1. Introduction to Quantitative Analysis.
2. Probability Concepts and Applications.
3. Decision Models and Decision Trees.
4. Regression Models.
5. Forecasting.
6. Inventory Control Models.
7. Linear Programming Models: Graphical and Computer Methods.
8. Linear Programming Modeling Applications and Computer Analyses.
9. Linear Programming: The Simplex Method.
10. Transportation and Assignment Models.
11. Integer Programming, Goal Programming, and Nonlinear Programming.
12. Network Models.
13. Project Management.
14. Waiting Lines and Queuing Theory Models.
15. Simulation Modeling.
16. Markov Analysis.
17. Statistical Quality Control.
2. Probability Concepts and Applications.
3. Decision Models and Decision Trees.
4. Regression Models.
5. Forecasting.
6. Inventory Control Models.
7. Linear Programming Models: Graphical and Computer Methods.
8. Linear Programming Modeling Applications and Computer Analyses.
9. Linear Programming: The Simplex Method.
10. Transportation and Assignment Models.
11. Integer Programming, Goal Programming, and Nonlinear Programming.
12. Network Models.
13. Project Management.
14. Waiting Lines and Queuing Theory Models.
15. Simulation Modeling.
16. Markov Analysis.
17. Statistical Quality Control.