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Quantitative Analysis for Management

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Quantitative analysis made easy for management students.

This book is a great resource for students looking to learn about management science, quantitative analysis, and decision models. With comprehensive coverage and many examples and exercises, it is easy to use and accessible. The authors, Barry Render, Ralph Stair, and Michael Hanna, are all accomplished professors with years of experience in teaching quantitative methods.

Sale

Quantitative Analysis for Management

Regular price $10.90 $5.90 46% off
Unit price
per
ISBN: 9780132615617
Estimated First-hand Retail Price: $121.73
Date of Publication: 1996-08-01
Format: Paperback
Related Collections: Business
Related Topics: Management
Goodreads rating: 3.74
(rated by 183 readers)

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Description

Easy to understand-even for learners with limited math backgrounds, this book uses a modeling approach to provide thorough coverage of the basic techniques in quantitative methods and focuses on the managerial applications of these techniques. An interesting and reader friendly writing style makes for a clear presentation, complete with all the necessary assumptions and mathematical details. Chapter topics include probability concepts and applications, decision models and decision trees, regression models, forecasting, inventory control models, linear programming modeling applications and computer analyses, network models, project management, simulation modeling, and more. For an introduction toquantitative analysis, quantitative management, operations research, or management science-especially for those individuals preparing for work in agricultural economics and health care fields.
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Quantitative analysis made easy for management students.

This book is a great resource for students looking to learn about management science, quantitative analysis, and decision models. With comprehensive coverage and many examples and exercises, it is easy to use and accessible. The authors, Barry Render, Ralph Stair, and Michael Hanna, are all accomplished professors with years of experience in teaching quantitative methods.