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Practical Spreadsheet Modeling Using @Risk

Dale Lehman | Huybert Groenendaal
€173.60
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@Risk software
A01=Dale Lehman
A01=Huybert Groenendaal
advanced sensitivity analysis
Author_Dale Lehman
Author_Huybert Groenendaal
Auto Detect
Average VaR
Bass Diffusion Model
Bayesian inference methods
BIC Criterion
Bitcoin Price
Bootstrap Samples
Category=KCH
Category=KJC
Copula Fit
discrete event simulation
Efficient Frontier
Empirical Copula
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Fare Classes
Fit Time Series Models
GARCH Model
health care administration
Laplace Distribution
LINEST Function
Monte Carlo simulation
Multivariate Time Series Model
Pert Distribution
probabilistic modeling
quantitative decision analysis
Regression Model
Retirement Fund
risk analysis
risk management
Senior Tranche
Simulate Time Series Data
simulation modeling for complex decisions
Software @Risk
Spreadsheet Model
spreadsheet modeling
spreadsheet risk management
Stochastic Dominance Test
Time Series Model
Tornado Chart
Tornado Graph
uncertainty quantification

Product details

  • ISBN 9780367173869
  • Weight: 612g
  • Dimensions: 254 x 178mm
  • Publication Date: 02 Dec 2019
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Description

Practical Spreadsheet Modeling Using @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 presents 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 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. The book 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
About Dale Lehman | Huybert Groenendaal

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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