Introduction to business analytics using simulation

著者

• Pinder, Jonathan P.

書誌事項

Introduction to business analytics using simulation

Jonathan P. Pinder

Academic Press, c2023

2nd ed

注記

Includes index

内容説明・目次

内容説明

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.

目次

1. Business Analytics is Making Decisions 2. Decision Trees 3. Decision-Making and Simulation 4. Probability: Measuring Uncertainty 5. Subjective Probability Distributions 6. Empirical Probability Distributions 7. Theoretical Probability Distributions 8. Simulation Accuracy: Central Limit Theorem and Sampling 9. Simulation Fit and Significance: Chi-Square and ANOVA 10. Regression 11. Forecasting 12. Constrained Linear Optimization

「Nielsen BookData」 より

詳細情報

• NII書誌ID(NCID): BD02706366
• ISBN:
  • 9780323917179
• 出版国コード: uk
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: London
• ページ数/冊数: xiii, 495 p.
• 大きさ: 24 cm
• 分類:
  • LCC : HD38.7
  • DC23 : 658.4/72
• 件名:
  • LCSH : Business intelligence
  • LCSH : Business -- Computer simulation
  • LCSH : Industrial management -- Statistical methods