Download PDF Practical Spreadsheet Risk Modeling for Management
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Practical Spreadsheet Risk Modeling for Management
Download PDF Practical Spreadsheet Risk Modeling for Management
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About the Author
Dale Lehman is Professor of Economics and Director of the MBA Program at Alaska Pacific University. He also teaches courses at Danube University and the Vienna University of Technology. He has held positions at a dozen universities and for several telecommunications companies. He holds a B.A. in Economics from SUNY at Stony Brook and M.A. and Ph.D. degrees from the University of Rochester. He has authored numerous articles and two books on topics related to microeconomic theory, decision making under uncertainty, and public policy, particularly concerning telecommunications and natural resources. Huybert Groenendaal is a managing partner and senior risk analysis consultant at EpiX Analytics. As a consultant, he helps clients using risk analysis modeling techniques in a broad range of industries. He has extensive experience in risk modeling in business development, financial valuation, and R&D portfolio evaluation within the pharmaceutical and medical device industries, but also works regularly in a variety of other fields, including investment management, health and epidemiology, and inventory management. He also teaches a number of risk analysis training classes, gives guest lectures at a number of universities, and is adjunct professor at Colorado State University. He holds a M.Sc. and Ph.D. from Wageningen University and an MBA in Finance from the Wharton School of Business. Greg Nolder is VP of Applied Analytics at Denali Alaskan Federal Credit Union. The mission of the Applied Analytics Department is to promote and improve the application of analytical techniques for measuring and managing risks at Denali Alaskan as well as the greater credit union industry. Along with Huybert, Greg is also an instructor of risk analysis courses for Statistics.com. Prior to Denali Alaskan he has had a varied career including work with EpiX Analytics as a risk analysis consultant for clients from numerous industries, sales engineer, application engineer, test engineer, and air traffic controller. Greg received a M.S. in Operations Research from Southern Methodist University as well as a B.S. in Electrical Engineering and a B.S. in Aviation Technology, both from Purdue University.
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Product details
Hardcover: 284 pages
Publisher: Chapman and Hall/CRC; 1 edition (September 8, 2011)
Language: English
ISBN-10: 1439855528
ISBN-13: 978-1439855522
Product Dimensions:
6.5 x 1 x 9.5 inches
Shipping Weight: 1.4 pounds (View shipping rates and policies)
Average Customer Review:
3.8 out of 5 stars
5 customer reviews
Amazon Best Sellers Rank:
#793,877 in Books (See Top 100 in Books)
Risk professionals seeking practical methods for modeling risk using spreadsheets will be interested in "Practical Spreadsheet Risk Modeling for Management," which takes a "learn by doing" approach to learning the basic and advanced methods of evaluating risk quantitatively. The book makes full use of ModelRisk (Vose Software), the world's most advanced risk analysis modeling add-in solution for Excel (Microsoft). ModelRisk adds critical functionality to Excel, including stochastic (Monte Carlo) simulation, sensitivity analysis, object modeling, multivariate correlations (copulas), autoregressive forecasting, global optimization, expert elicitation tools, Bayesian averaging for fitted models, interpolation, distribution splicing, object modeling, and more. I have adopted "Practical Spreadsheet Risk Modeling for Management" as the standard textbook for my online training courses that I teach in risk analysis modeling around the world.
The content of the book is fine. However, it appears the book missed going to a editor for review. There are some inconsistencies among the text which made it rather hard to digest.
The book needs to be reviewed for errors and omissions.
Practical Spreadsheet Risk Modeling for Management truly is an ESSENTIAL resource for Vose Software ModelRisk users. The text walks users through the process of risk modeling, presenting principles and techniques in practical terms. If you seek a way to model uncertainty with ModelRisk, this book provides guidance beyond what's available in the Vose Software Help File. The text offers numerous examples, enabling users to replicate processes and results appearing in the text. Users can download exemplary spreadsheets enabling replication of the text illustrations. At least three other properties render this book extraordinarily useful: Content is devoted to practical application, not theory. It's written in plain American English, unlike many books devoted to statistical analysis. The book's organization is logical, leading readers from the fundamentals to more advanced processes.The Vose Software Help File is useful. However, this text brings it all together for ModelRisk users.
In order to evaluate Risk, you will need to well understand your problem, identify the correct variables, modeling a spreadsheet, chose the correct distribution, make the correlations, etc. Not easy tasks!A Practical book to help us to learn how to do it is a must. I agree with other reviewers this one is truly an essential resource. Lots of examples, ease to read and understand.
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