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Books > Business & Economics > Business & management > Management & management techniques > Operational research

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Quantitative Methods for Management - A Practical Approach (Hardcover, 1st ed. 2019) Loot Price: R2,566
Discovery Miles 25 660
Quantitative Methods for Management - A Practical Approach (Hardcover, 1st ed. 2019): Miguel Angel Canela, Ines Alegre, Alberto...

Quantitative Methods for Management - A Practical Approach (Hardcover, 1st ed. 2019)

Miguel Angel Canela, Ines Alegre, Alberto Ibarra

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Loot Price R2,566 Discovery Miles 25 660 | Repayment Terms: R240 pm x 12*

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This book focuses on the use of quantitative methods for both business and management, helping readers understand the most relevant quantitative methods for managerial decision-making. Pursuing a highly practical approach, the book reduces the theoretical information to a minimum, so as to give full prominence to the analysis of real business problems. Each chapter includes a brief theoretical explanation, followed by a real-life managerial case that needs to be solved, which is accompanied by a corresponding Microsoft Excel (R) dataset. The practical cases and exercises are solved using Excel, and for each problem, the authors provide an Excel file with the complete solution and corresponding calculations, which can be downloaded easily from the book's website. Further, in an appendix, readers can find solutions to the same problems, but using the R statistical language. The book represents a valuable reference guide for postgraduate, MBA and executive education students, as it offers a hands-on, practical approach to learning quantitative methods in a managerial context. It will also be of interest to managers looking for a practical and straightforward way to learn about quantitative methods and improve their decision-making processes.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Release date: July 2019
First published: 2019
Authors: Miguel Angel Canela • Ines Alegre • Alberto Ibarra
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 144
Edition: 1st ed. 2019
ISBN-13: 978-3-03-017553-5
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Professional & Technical > Technology: general issues > Engineering: general
Books > Business & Economics > Business & management > Management & management techniques > Operational research
Books > Business & Economics > Business & management > Management of specific areas > General
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LSN: 3-03-017553-7
Barcode: 9783030175535

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