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Quantitative Analysis for ManagementUnited States Edition
Format: Hardback
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KEY BENEFIT: 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.
KEY TOPICS: 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.
MARKET: For an introduction to quantitative analysis, quantitative management, operations research, or management science-especially for those individuals preparing for work in agricultural economics and health care fields.
Genre: Business & Economics, Statistics
Format: Hardback
Published: 2009
Pages: 748
Publisher: Pearson Prentice Hall
ISBN: 9780136036258
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Condition Descriptions
Our conditions mean the following:
- New - a brand new book
- Almost New - appears new but is actually secondhand.
- Very Good - only minor imperfections such as minor scuffs to edge or cover or a price written in pencil or shop sticker.
- Standard Secondhand - Clearly been read before, but not too bad. We do not recommend these for gifting. Spines usually creased. Could also include creases or folds to cover, some writing such as in the cover or elsewhere, underlining or highlighting, but might not do. Possibly some stains or marks. Similar in general to books in any secondhand shop or charity shop.
- Poor Condition - Usually this will have a specific problem such as writing inside, water damage, missing dust jacket, heavy staining, large creases or cuts. These are readable copies but not nice ones. On other websites this condition is called 'Acceptable' or 'Fair' , but we want to be more honest.
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