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Practical Spreadsheet Modeling Using @Risk

Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
Practical Spreadsheet Modeling Using @Risk guides readers through constructing applied decision analysis models within spreadsheets, emphasising Monte Carlo simulation to evaluate uncertainties and key risk factors. It offers numerous real-world examples across sectors like health care, transportation, finance, and manufacturing, showing how simulation modelling provides valuable decision insights and supports exploring alternative options. The book highlights good spreadsheet practices and is suitable for graduate students, advanced undergraduates, and practitioners wanting to enhance their modelling skills.
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Format: Hardback
$30600
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

This book is ideal for graduate students and advanced undergraduates in business, public policy, health care administration, and similar fields where simulation modelling aids decision-making. It also suits professionals seeking practical guidance on spreadsheet-based risk analysis using @Risk software.

Book Hero thinking about your next read

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

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

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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