Introduction to business analytics using simulation
Author(s)
Bibliographic Information
Introduction to business analytics using simulation
Academic Press, c2017
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Includes index
Description and Table of Contents
Description
Introduction to Business Analytics Using Simulation employs an innovative strategy to teach business analytics. It uses simulation modeling and analysis as mechanisms to introduce and link predictive and prescriptive modeling. Because managers can't fully assess what will happen in the future, but must still make decisions, the book treats uncertainty as an essential element in decision-making.
Its use of simulation gives readers a superior way of analyzing past data, understanding an uncertain future, and optimizing results to select the best decision. With its focus on the uncertainty and variability of business, this comprehensive book provides a better foundation for business analytics than standard introductory business analytics books. Students will gain a better understanding of fundamental statistical concepts that are essential to marketing research, Six-Sigma, financial analysis, and business analytics.
Table of Contents
1. Business analytics is making decisions2. Decision-making and simulation3. Decision Trees4. Probability: measuring uncertainty5. Subjective Probability Distributions6. Empirical probability distributions7. Theoretical probability distributions8. Simulation accuracy: central limit theorem and sampling9. Simulation fit and significance: chi-square and ANOVA10. Regression11. Forecasting
by "Nielsen BookData"
