Practical Spreadsheet Modeling Using @Risk Practical Spreadsheet Modeling Using @Risk

Practical Spreadsheet Modeling Using @Risk

    • ¥24,800
    • ¥24,800

Publisher 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

GENRE
Business & Personal Finance
RELEASED
2019
November 11
LANGUAGE
EN
English
LENGTH
242
Pages
PUBLISHER
CRC Press
SELLER
Taylor & Francis Group
SIZE
15.6
MB
Statsnotes: Some Statistics For Management Problems Statsnotes: Some Statistics For Management Problems
2016
Machine Learning for Asset Management Machine Learning for Asset Management
2020
A Quantitative Approach to Commercial Damages A Quantitative Approach to Commercial Damages
2012
A Study of Business Decisions under Uncertainty A Study of Business Decisions under Uncertainty
2013
Machine Learning for Factor Investing: R Version Machine Learning for Factor Investing: R Version
2020
Machine Learning and AI in Finance Machine Learning and AI in Finance
2021