Practical Spreadsheet Modeling Using @Risk 1st Edition

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If you are looking to enhance your spreadsheet modeling skills and understand how to apply decision analysis models using Monte Carlo simulation, then Practical Spreadsheet Modeling Using @Risk is the perfect guide for you. This 1st edition book provides a comprehensive overview of building applied decision analysis models in spreadsheets, focusing on quantitative analysis of uncertainties and key risk drivers through simulation.

The book includes numerous real-world examples from various industries such as healthcare, transportation, finance, natural resources, technology, manufacturing, retail, and sports and entertainment. Each example showcases decision points where simulation modeling can offer valuable insights and explore different alternatives. Additionally, the book emphasizes good spreadsheet modeling practices to help readers develop effective modeling skills.

Author(s)

Dale E. Lehman, PhD: Professor of Business Administration and Director of the EMBA in Business Analytics at Loras College. He has extensive experience in teaching and research in microeconomics across different industries.
Huybert Groenendaal, PhD: Managing Director at EpiX Analytics with a background in using risk modeling for decision-making in various fields including business development, financial valuation, and R&D portfolio analysis.

If you are a graduate student, advanced undergraduate, or a practitioner seeking to improve your spreadsheet modeling abilities, this book is a valuable resource for you.

ISBN: 9780367173869

Frequently Asked Questions (FAQ)

1. Who is the target audience for this book?

Answer: The book is suitable for graduate students, advanced undergraduates, and practitioners in business, public policy, healthcare management, or any field that involves simulation modeling of decision-making.

2. What industries are covered in the examples provided in the book?

Answer: The examples in the book span across various industries including healthcare, transportation, finance, natural resources, technology, manufacturing, retail, and sports and entertainment.

3. What emphasis does the book place on spreadsheet modeling practices?

Answer: The book highlights good spreadsheet modeling practices to help readers develop effective modeling skills and enhance their decision analysis capabilities.

4. What is the primary focus of the book regarding quantitative analysis?

Answer: The book focuses on using Monte Carlo simulation to provide quantitative analysis of uncertainties and key risk drivers in decision-making scenarios.

5. Are there practical applications and case studies included in the book?

Answer: Yes, the book includes numerous real-world examples and case studies that demonstrate the application of simulation modeling in different practical settings.

Conclusion

Practical Spreadsheet Modeling Using @Risk 1st Edition is a valuable resource for individuals looking to advance their skills in decision analysis and spreadsheet modeling. With a focus on using Monte Carlo simulation to analyze uncertainties and make informed decisions, this book offers practical insights and examples from a wide range of industries. Whether you are a student or a practitioner seeking to enhance your modeling skills, this book provides a comprehensive guide to building effective decision analysis models.

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