Quantitative Techniques for Management David M. Levine; Mark L. Berenson; Timothy C. Krehbiel;Barry Render; Ralph M. Stair Jr.; Michael E. Hanna
Material type:
- 9788131772485
- 658.403 LEV
Item type | Current library | Collection | Call number | Status | Barcode | |
---|---|---|---|---|---|---|
![]() |
CUTN Central Library Medicine, Technology & Management | Non-fiction | 658.403 LEV (Browse shelf(Opens below)) | Available | 33783 | |
![]() |
CUTN Central Library Medicine, Technology & Management | Non-fiction | 658.403 LEV (Browse shelf(Opens below)) | Available | 33784 | |
![]() |
CUTN Central Library Medicine, Technology & Management | Non-fiction | 658.403 LEV (Browse shelf(Opens below)) | Available | 33785 |
Browsing CUTN Central Library shelves, Shelving location: Medicine, Technology & Management, Collection: Non-fiction Close shelf browser (Hides shelf browser)
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
||
658.403 LAU Management Information Systems Managing the Digital Firm | 658.403 LEV Quantitative Techniques for Management | 658.403 LEV Quantitative Techniques for Management | 658.403 LEV Quantitative Techniques for Management | 658.403 LIE Knowledge Management Handbook : Collaboration and Social Networking / | 658.403 LOW Creativity and problem solving. | 658.403 PUT Customer and business analytics : |
Introduction to Statistics: Grouping and Displaying Data
Measures of Central Tendency and Dispersion
Fundamentals of Probability
Probability Distributions
Decision Theory
Game Theory
Linear Programming
Transportation and Assignment Models
Simulation
Sampling and Estimation
Hypothesis Testing
Regression Analysis
Forecasting and Time-Series Analysis
Specially designed to meet the requirements of management students, this reader-friendly and example-driven book on quantitative techniques presents a comprehensive coverage of the subject. The key highlight of the book is its focused approach achieved by combining relevant topics from business statistics and quantitative analysis. It discusses a wide range of concepts such as basic statistics, probability, decision and game theories, linear programming, sampling, regression analysis, and forecasting.
Extensive syllabi research and instructor reviews have ensured that the chapters in the book cover the curriculum of major Indian universities. The emphasis on the interpretation of results rather than computation makes this book highly relevant. Students are encouraged to apply their learning to real-life challenges through a multitude of problems provided in the text.
There are no comments on this title.