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Introduction to Business Analytics Using Simulation,

Edition 1

Editors: By Jonathan P. Pinder

Publication Date: 31 Aug 2016

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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

About the author

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

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

ISBN: 9780128104842

Page Count: 448

Retail Price (USD) :

Christoffersen, Elements of Financial Risk Management, 2^nd ed, 2011, 9780123744487, 344 pp., $69.95
Ross, Introduction to Probability Models, 11^th ed., 9780124079489, 2014, 784 pp., $99.95
Ross, Simulation, 5^th ed., 9780124158252, 2012, 328 pp., $99.95

Introduction to Business Analytics Using Simulation,

Editors: By Jonathan P. Pinder

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About the author

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