Introduction to Business Analytics Using Simulation

by Jonathan P. Pinder

Overview

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.

Product Details

ISBN-13:	9780128104866
Publisher:	Elsevier Science & Technology Books
Publication date:	09/03/2016
Sold by:	Barnes & Noble
Format:	eBook
Pages:	448
File size:	37 MB
Note:	This product may take a few minutes to download.

About the Author

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

What People are Saying About This

From the Publisher

Presents decision analysis and simulation strategies, providing students with a definitive understanding of probability and statistics

Editorial Reviews

"This book provides a novel, intuitive approach to teaching uncertainty and simulation modeling that should appeal to a wide variety of management science, analytics, and statistics professors." —Wayne L. Winston, University of Indiana

"Business analytics are and will remain essential in every industry sector. To understand basic concepts and solve complex problems are skills necessary for any economist and engineer, among others. Introduction to Business Analytics using Simulation is the perfect textbook for learning these skills." —Fausto Pedro Garcia Marquez, Universidad de Castilla-La Mancha

From the Publisher