Practical Spreadsheet Modeling Using @Risk
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Practical Spreadsheet Modeling Using @Risk
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Risk analytics is developing rapidly, and analysts in the field need material that is theoretically sound as well as practical and straightforward. A one-stop resource for quantitative risk analysis, this book dispenses concentrates on how powerful techniques and methods can be used correctly within a spreadsheet-based environment
Practical Spreadsheet Modeling Using @Risk provides a guide on how to construct applied decision analysis models in spreadsheets. The focus is on the use of Monte Carlo simulation to provide quantitative assessment of uncertainties and key risk drivers. The book presents numerous examples based on real data and relevant practical decisions across various settings, including health care, transportation, finance, natural resources, technology, manufacturing, retail, and sports and entertainment.
All examples involve decision problems where uncertainties make simulation modeling useful to obtain decision insights and explore alternative choices. Good spreadsheet modeling practices are highlighted. The book is suitable for graduate students or advanced undergraduates in business, public policy, health care administration, or any field amenable to simulation modeling of decision problems. It is also useful for applied practitioners seeking to build or enhance their spreadsheet modeling skills.
Features
- Step-by-step examples of spreadsheet modeling and risk analysis in a variety of fields
- Description of probabilistic methods, their theoretical foundations, and their practical application in a spreadsheet environment
- Extensive example models and exercises based on real data and relevant decision problems
- Comprehensive use of the @Risk software for simulation analysis, including a free one-year educational software license
Book Details
INFORMATION
ISBN: 9780367173869
Publisher: Taylor & Francis Ltd
Format: Hardback
Date Published: 02 December 2019
Country: United Kingdom
Imprint: Chapman & Hall/CRC
Illustration: 200 Illustrations, black and white
Audience: Tertiary education
DIMENSIONS
Width: 254.0mm
Height: 178.0mm
Weight: 612g
Pages: 222
About the Author
Dale E. Lehman, PhD, is Professor of Business Administration and Director of the EMBA in Business Analytics at Loras College. He has taught at numerous universities in North America, Europe, and Asia. He has also published extensively in the areas of microeconomics, with applications in the telecommunications, health care, and natural resource industries. He has authored three previous books in these areas.
Huybert Groenendaal, PhD, is Managing Director at EpiX Analytics. He has extensive experience in using risk modeling to support decision making in fields that include business development, financial valuation, and R&D portfolio evaluation within the pharmaceutical and medical device industries, as well as health and epidemiology, energy, manufacturing and private equity. He regularly teaches risk analysis training classes.
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