Introduction to Business Analytics Using Simulation, Second Edition employs an innovative strategy to teach business analytics. The book 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 uncertainty and variability, this book provides a comprehensive foundation for business analytics. Students will gain a better understanding of fundamental statistical concepts that are essential to marketing research, Six-Sigma, financial analysis, and business analytics. Teaches managers how they can use business analytics to formulate and solve business problems to enhance managerial decision-making Explains the processes needed to develop, report and analyze business data Describes how to use and apply business analytics software Offers expanded coverage on the value and application of prescriptive analytics Includes a wealth of illustrative exercises that are newly organized by difficulty level Winner of the 2017 Textbook and Academic Authors Association's (TAA) Most Promising New Textbook Award in the prior edition INDICE: 1. Business Analytics is Making Decisions2. Decision Trees3. Decision-Making and Simulation4. 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. Forecasting12. Constrained Linear Optimization
- ISBN: 978-0-323-91717-9
- Editorial: Academic Press
- Encuadernacion: Rústica
- Páginas: 512
- Fecha Publicación: 10/05/2022
- Nº Volúmenes: 1
- Idioma: Inglés