Quantitative Analysis for Management, Global Edition

Stair, Ralph M., Hanna, Michael E., Render, Barry

ISBN 10: 129205932X / ISBN 13: 9781292059327

Editore: Pearson Education, Limited, 2014

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Ships from the UK. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.

Codice articolo 16228481-6

Dati bibliografici

• Titolo: Quantitative Analysis for Management, Global Edition
• Editore: Pearson Education, Limited
• Data di pubblicazione: 2014
• Lingua: Inglese
• ISBN 10: 129205932X
• ISBN 13: 9781292059327
• Rilegatura: Brossura
• Condizione: Good

Descrizione articolo

Riassunto

For courses in Management Science or Decision Modeling

A solid foundation in quantitative methods and management science

 

This popular text gives students a genuine foundation in business analytics, quantitative methods, and management science―and how to apply the concepts and techniques in the real world―through a strong emphasis on model building, computer applications, and examples. The authors’ approach presents mathematical models, with all of the necessary assumptions, in clear, plain English, and then applies the ensuing solution procedures to example problems along with step-by-step, how-to instructions. In instances in which the mathematical computations are intricate, the details are presented in a manner that ensures flexibility, allowing instructors to omit these sections without interrupting the flow of the material. The use of computer software enables the instructor to focus on the managerial problem and spend less time on the details of the algorithms. Computer output is provided for many examples throughout the text.

 

Teaching and Learning Experience

This text provides a solid foundation in quantitative methods and management science. Here’s how:

• Students see clearly how concepts and techniques are used in real organizations.
• Outstanding in-text features provide reinforcement and ensure understanding.
• The text’s use of software allows instructors to focus on the managerial problem, while spending less time on the mathematical details of the algorithms.