Simulation Modeling Using Risk
Download Simulation Modeling Using Risk PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Simulation Modeling Using Risk book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Practical Spreadsheet Modeling Using @Risk
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
Simulation Modeling Using @Risk
This new book shows how to use Monte Carlo simulation to model and solve complex business problems in finance, operations, and marketing using @RISK. The book's timely applications include simulating the risk of derivatives, hedging with futures, analyzing investment portfolios, modeling market share, calculating optimal maintenance policies, and many others. The book also contains specific instruction in simulation concepts and modeling, making it appropriate as a textbook, supplement, or self-directed guidebook.
Simulation Modeling Using @Risk
With its understandable explanations of Monte Carlo and step-by-step instructions for Microsoft Excel, Lotus, and @Risk software, this text/software package offers both the instruction and the practice students need to begin solving complex business problems. It is designed for use as the primary learning tool in a short business simulation course (for advanced undergraduate and MBA students), or as a supplement to courses in investments, corporate finance, management science, marketing strategy, operations management, and actuarial science.