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Quantitative Analysis Management

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Precise data-driven decision-making explained in depth.

Recommendation: This book is perfect for managers who want to improve their decision-making with the help of quantitative analysis. The author provides a step-by-step guide to understanding and implementing the process, and the book is full of real-world examples to illustrate its effectiveness. Overall, a great read for anyone interested in using data to drive better business decisions.

Sale

Quantitative Analysis Management

Regular price RM69.10 MYR RM28.88 MYR 58% off
Unit price
per
ISBN: 9780131971028
Date of Publication: 1982-01-01
Format: Paperback
Related Collections: Business
Related Topics: Management
Goodreads rating: 3.74
(rated by 183 readers)

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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Precise data-driven decision-making explained in depth.

Recommendation: This book is perfect for managers who want to improve their decision-making with the help of quantitative analysis. The author provides a step-by-step guide to understanding and implementing the process, and the book is full of real-world examples to illustrate its effectiveness. Overall, a great read for anyone interested in using data to drive better business decisions.