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Quantitative Analysis Management

by Ralph M. Stair, Michael E. Hanna, Barry Render
$18.90 Now $7.90 Save 58% more
Quantitative Analysis Management - Thryft
Quantitative Analysis Management - Thryft

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.

Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.
Sale

Quantitative Analysis Management

by Ralph M. Stair, Michael E. Hanna, Barry Render
$18.90 Now $7.90 Save 58% more
ISBN: 9780131971028
Authors: Ralph M. Stair, Michael E. Hanna, Barry Render
Publisher: Pearson Education Limited
Date of Publication: 1982-01-01
Format: Paperback
Related Collections: Personal Development, Business, Economics
Related Topics: How To, Management, Business
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.
Condition guide

Book Condition Guide

Books in Like New Condition

This book may contain very minor cosmetic defects, but it is in pristine condition. There should be no yellowing, no foxing, no water damage, and no annotations of any kind on the cover and the pages. For paperbacks, there should not be any crease marks on the spine. This book is good as new — lucky you!

*Books may be missing bundle media (e.g. CD, e-book code), if included.

Books in Very Good Condition

This book has been used, but it is still in a clean condition. There should be no foxing or annotations of any kind on the inner pages, but a sparse amount may be present on the cover, title pages, or outside edges of the book. There should be no water damage of any kind. For paperbacks, there may be light crease marks on the spine.

*Books may be missing bundle media (e.g. CD, e-book code), if included.

Books in Good Condition

We do our best to ensure the quality of our books, but there is no escaping the wear and tear that comes with time. Slight foxing and some annotations may be present on the pages and the cover. There should be no water damage of any kind. For paperbacks, there may be several crease marks on the spine.

*Books may be missing bundle media (e.g. CD, e-book code), if included.

Books in Well Read Condition

This is a well-read book, which means that the previous owner probably really enjoyed it! The cover and pages may include moderate foxing and annotations, but the text is not obscured and still readable. Moderate cosmetic defects and minor water damage may be present on the edges of the book. For paperbacks, there may be multiple crease marks on the spine.

*Books may be missing bundle media (e.g. CD, e-book code), if included.

 

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Similar Reads

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.

Note: While we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.