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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Add to baskethardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Published by Springer International Publishing, Springer International Publishing, 2019
ISBN 10: 3030012786 ISBN 13: 9783030012786
Language: English
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers a comprehensive and readable introduction to modern business and data analytics. It is based on the use of Excel, a tool that virtually all students and professionals have access to. The explanations are focused on understanding the techniques and their proper application, and are supplemented by a wealth of in-chapter and end-of-chapter exercises. In addition to the general statistical methods, the book also includes Monte Carlo simulation and optimization. The second edition has been thoroughly revised: new topics, exercises and examples have been added, and the readability has been further improved. The book is primarily intended for students in business, economics and government, as well as professionals, who need a more rigorous introduction to business and data analytics - yet also need to learn the topic quickly and without overly academic explanations.
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Published by Springer, Berlin, Springer Berlin Heidelberg, Springer, 2010
ISBN 10: 3642108342 ISBN 13: 9783642108341
Language: English
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering.
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Hardcover. Condition: Brand New. 2nd edition. 346 pages. 9.25x6.25x1.00 inches. In Stock.
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Add to basketHardcover. Condition: New. Hardcover. Pub Date: 309 Language: Chinese Publisher: Chemical Industry Press This book introduces Excel-based statistical analysis modeling and simulation. This book covers the basic theories and methods in statistics. such as interval estimates. assumptions. variance analysis. regression analysis and Monte Carlo simulation. etc. and introduce linear .