Practical Spreadsheet Modeling Using @Risk 1st Edition
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Explore the innovative resource, Practical Spreadsheet Modeling Using @Hazard 1st Edition, designed to provide a comprehensive guide on constructing applied decision analysis models in spreadsheets. With a focus on utilizing Monte Carlo simulation for quantitative analysis of uncertainties and key risk drivers, this book offers numerous examples based on real data and relevant practical decisions in various industries including healthcare, transportation, finance, natural resources, technology, manufacturing, retail, and sports and entertainment. Each example illustrates decision points where uncertainties demonstrate the value of simulation modeling in gaining decision insights and exploring alternative options. The book emphasizes good spreadsheet modeling practices, making it a valuable resource for graduate students, advanced undergraduates in business, public policy, healthcare management, or any field open to simulation modeling of decision problems. Additionally, it serves as a valuable tool for practitioners seeking to develop or enhance their spreadsheet modeling skills.
Features:
– In-depth guidance on constructing applied decision analysis models in spreadsheets.
– Real-world examples across various industries.
– Emphasis on Monte Carlo simulation for quantitative analysis of uncertainties.
– Highlights good spreadsheet modeling practices.
– Suitable for graduate students, advanced undergraduates, and practitioners alike.
Author(s)
Biography
Dale E. Lehman, PhD, is a Professor of Business Administration and the Director of the EMBA in Business Analytics at Loras College. With a background in teaching at multiple universities across North America, Europe, and Asia, he has extensive publications in microeconomics, particularly in industries such as telecommunications, healthcare, and natural resources. He is the author of three previous books in these areas.
Huybert Groenendaal, PhD, is the Managing Director at EpiX Analytics. His vast experience in utilizing risk modeling to aid decision-making spans fields like business development, financial valuation, R&D portfolio analysis in industries including pharmaceuticals, medical devices, healthcare, epidemiology, energy, manufacturing, and private equity. He is actively involved in conducting risk analysis training sessions.
FAQ
- What industries are covered in the book? The book presents examples from a wide range of industries including healthcare, transportation, finance, natural resources, technology, manufacturing, retail, and sports and entertainment.
- Who is the book suitable for? The book is ideal for graduate students, advanced undergraduates in business, public policy, healthcare management, and any field open to simulation modeling of decision problems. It is also beneficial for practitioners aiming to enhance their spreadsheet modeling skills.
Conclusion
Practical Spreadsheet Modeling Using @Hazard 1st Edition is a comprehensive guide for individuals seeking to develop applied decision analysis models using spreadsheets. With a focus on Monte Carlo simulation, this book offers practical examples from diverse industries, emphasizing good spreadsheet modeling practices. Whether you are a student or a practitioner looking to enhance your modeling skills, this book provides valuable insights and knowledge for effective decision-making processes.
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