Practical Spreadsheet Risk Modeling using @Risk

1st Edition

Dale Lehman, Huybert Groenendaal

Chapman and Hall/CRC
November 29, 2019 Forthcoming
Textbook - 208 Pages - 200 B/W Illustrations
ISBN 9780367173869 - CAT# K413631

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Practical Spreadsheet Modeling with @Risk provides a guide of 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 provides numerous examples based on real data and relevant practical decisions in a variety of settings, including health care, transportation, finance, natural resources, technology, manufacturing, retail, and sports & entertainment. All examples involve decision problems where uncertainties make simulation modeling useful to get 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. The book is also useful for applied practitioners seeking to build or enhance their spreadsheet modeling skills.


  • 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.

Dale Lehman is Professor of Business Administration and director of the graduate programs 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 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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