Quantitative analysis for management /
Render, Barry.
Quantitative analysis for management / Barry Render, Ralph M. Stair, Jr., Michael E. Hanna, Trevors S. Hale. - 13th edition ; Global edition. - Harlow, England : Pearson Education Limited, c[2018]. - 597 pages : illustrations ; 28 cm.
Includes index.
Quantitative Analysis for Management helps students to develop a real-world understanding of business analytics, quantitative methods, and management science by emphasizing model building, tangible examples, and computer applications. The authors offer an accessible introduction to mathematical models and then students apply those models using step-by-step, how-to instructions. For more intricate mathematical procedures, the 13th Edition offers a flexible approach, allowing instructors to omit specific sections without interrupting the flow of the material. Supporting computer software enables instructors to focus on the managerial problems and solutions, rather than spending valuable class time on the details of algorithms. --Provided by the publisher
9781292217659
Management science.
Operations research.
T 56 / .R292 2018
Quantitative analysis for management / Barry Render, Ralph M. Stair, Jr., Michael E. Hanna, Trevors S. Hale. - 13th edition ; Global edition. - Harlow, England : Pearson Education Limited, c[2018]. - 597 pages : illustrations ; 28 cm.
Includes index.
Quantitative Analysis for Management helps students to develop a real-world understanding of business analytics, quantitative methods, and management science by emphasizing model building, tangible examples, and computer applications. The authors offer an accessible introduction to mathematical models and then students apply those models using step-by-step, how-to instructions. For more intricate mathematical procedures, the 13th Edition offers a flexible approach, allowing instructors to omit specific sections without interrupting the flow of the material. Supporting computer software enables instructors to focus on the managerial problems and solutions, rather than spending valuable class time on the details of algorithms. --Provided by the publisher
9781292217659
Management science.
Operations research.
T 56 / .R292 2018
