Introduction to Business Analytics Using Simulation - Jonathan P. Pinder

Introduction to Business Analytics Using Simulation

Buch | Softcover
512 Seiten
2022 | 2nd edition
Academic Press Inc (Verlag)
978-0-323-91717-9 (ISBN)
99,95 inkl. MwSt
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.

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.

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

Erscheinungsdatum
Verlagsort Oxford
Sprache englisch
Maße 191 x 235 mm
Gewicht 1040 g
Themenwelt Wirtschaft Betriebswirtschaft / Management Allgemeines / Lexika
Wirtschaft Volkswirtschaftslehre
ISBN-10 0-323-91717-8 / 0323917178
ISBN-13 978-0-323-91717-9 / 9780323917179
Zustand Neuware
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