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 do not know what will happen in the future but must make decisions, it 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, Introduction to Business Analytics Using Simulation provides a better foundation for business analytics than standard introductory business analytics books. Students gain a better understanding of fundamental statistical concepts that are essential to marketing research, Six-Sigma, financial analysis, and business analytics. Teaches how managers use business analytics to formulate and solve business problems and to support managerial decision makingExplains the processes needed to develop, report, and analyze business dataDescribes how to use and apply business analytics softwareIncludes 50 caselettes, quizzes for each exercise set, a quiz generator spreadsheet, and a sample syllabus. INDICE: 1. Introduction 2. Decision Making and Simulation 3. Decision Trees4. Probability: Measuring Uncertainty 5. Subjective Probability Distributions 6. Empirical Probability Distributions 7. Theoretical Probability Distributions 8. Simulation Accuracy: Central Limit Theorem & Sampling 9. Simulation Fit and Significance: Chi-Square and ANOVA 10. Mixture and Compound Probability Distributions Appendix 1: Simulation Summary Appendix 2: Statistical Tables
- ISBN: 978-0-12-810484-2
- Editorial: Academic Press
- Encuadernacion: Rústica
- Páginas: 375
- Fecha Publicación: 01/10/2016
- Nº Volúmenes: 1
- Idioma: Inglés