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Introduction to Business Analytics Using Simulation - 1st Edition - ISBN: 9780128104842, 9780128104866

Introduction to Business Analytics Using Simulation

1st Edition

Author: Jonathan Pinder
Paperback ISBN: 9780128104842
eBook ISBN: 9780128104866
Imprint: Academic Press
Published Date: 31st August 2016
Page Count: 448
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Introduction to Business Analytics Using Simulation employs an innovative strategy to teach business analytics. It 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 the uncertainty and variability of business, this comprehensive book provides a better foundation for business analytics than standard introductory business analytics books. Students will gain a better understanding of fundamental statistical concepts that are essential to marketing research, Six-Sigma, financial analysis, and business analytics.

Key Features

  • Winner of the 2017 Textbook and Academic Authors Association (TAA) Most Promising New Textbook Award
  • Teaches managers how they can use business analytics to formulate and solve business problems to enhance managerial decision-making
  • Explains the processes needed to develop, report, and analyze business data
  • Describes how to use and apply business analytics software


Upper-division undergraduates and graduate students worldwide working on business decision-making. Prerequisite: statistics

Table of Contents

  • Preface
  • Acknowledgments
  • Chapter 1: Business analytics is making decisions
    • Abstract
    • Introduction
  • Chapter 2: Decision-making and simulation
    • Abstract
    • Introduction
  • Chapter 3: Decision Trees
    • Abstract
    • Introduction
  • Chapter 4: Probability: measuring uncertainty
    • Abstract
    • Introduction
  • Chapter 5: Subjective Probability Distributions
    • Abstract
    • Introduction
  • Chapter 6: Empirical probability distributions
    • Abstract
    • Introduction
  • Chapter 7: Theoretical probability distributions
    • Abstract
    • Introduction
  • Chapter 8: Simulation accuracy: central limit theorem and sampling
    • Abstract
    • Introduction
  • Chapter 9: Simulation fit and significance: chi-square and ANOVA
    • Abstract
    • Introduction
  • Chapter 10: Regression
    • Abstract
    • Introduction
  • Chapter 11: Forecasting
    • Abstract
    • Introduction
  • Appendix 1: Summary of simulation
  • Appendix 2: Statistical tables
  • Index


No. of pages:
© Academic Press 2016
31st August 2016
Academic Press
Paperback ISBN:
eBook ISBN:

About the Author

Jonathan Pinder

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.

Affiliations and Expertise

School of Management, Wake Forest University, Winston-Salem NC, USA


"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

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