Pinder | Introduction to Business Analytics Using Simulation | Buch | 978-0-323-91717-9 | sack.de

Buch, Englisch, 512 Seiten, Format (B × H): 238 mm x 193 mm, Gewicht: 1054 g

Pinder

Introduction to Business Analytics Using Simulation


2. Auflage 2022
ISBN: 978-0-323-91717-9
Verlag: Elsevier Science & Technology

Buch, Englisch, 512 Seiten, Format (B × H): 238 mm x 193 mm, Gewicht: 1054 g

ISBN: 978-0-323-91717-9
Verlag: Elsevier Science & Technology


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.

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Zielgruppe


Upper-level undergraduates and graduate students in business decision-making and business analytics; Professionals working in finance and business globally. Secondary audience: Professionals working in finance and business globally


Autoren/Hrsg.


Weitere Infos & Material


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


Pinder, Jonathan P.
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.



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