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Introduction to Business Analytics Using Simulation Jonathan P. Pinder (School of Management, Wake Forest University, Winston-Salem NC, USA)

Introduction to Business Analytics Using Simulation By Jonathan P. Pinder (School of Management, Wake Forest University, Winston-Salem NC, USA)

Introduction to Business Analytics Using Simulation by Jonathan P. Pinder (School of Management, Wake Forest University, Winston-Salem NC, USA)


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Introduction to Business Analytics Using Simulation Summary

Introduction to Business Analytics Using Simulation by Jonathan P. Pinder (School of Management, Wake Forest University, Winston-Salem NC, USA)

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.

About Jonathan P. Pinder (School of Management, Wake Forest University, Winston-Salem NC, USA)

Dr. Pinder's research has been published in Decision Sciences, the Journal of Operations Management, the Journal of Forecasting, the Journal of Economics and Business, Managerial and Decision Economics, the Journal of the Operational Research Society, Decision Sciences Journal of Innovative Education, and Decision Economics, among others. Dr. Pinder has received numerous teaching awards. He is a member of the Decision Sciences Institute and the Institute for Operations Research and Management Science.

Table of Contents

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

Additional information

NPB9780323917179
9780323917179
0323917178
Introduction to Business Analytics Using Simulation by Jonathan P. Pinder (School of Management, Wake Forest University, Winston-Salem NC, USA)
New
Paperback
Elsevier Science & Technology
2022-07-13
512
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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