Fr. 80.00

Mathematical Modeling for Business Analytics

English · Paperback / Softback

Shipping usually within 1 to 3 weeks (not available at short notice)

Description

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Mathematical Modeling for Business Analytics is written for decision makers at all levels. This book presents the latest tools and techniques available to help in the decision process. The interpretation and explanation of the results are crucial to understanding the strengths and limitations of modeling. This book emphasizes and focuses on the aspects of constructing a useful model formulation, as well as building the skills required for decision analysis. The book also focuses on sensitivity analysis.

The author encourages readers to formally think about solving problems by using a thorough process. Many scenarios and illustrative examples are provided to help solve problems. Each chapter is also comprehensively arranged so that readers gain an in-depth understanding of the subject which includes introductions, background information and analysis. Both undergraduate and graduate students taking methods courses in methods and discrete mathematical modeling courses will greatly benefit from using this book.



  • Boasts many illustrative examples to help solve problems


  • Provides many solutions for each chapter


  • Emphasizes model formulation and helps create model building skills for decision analysis


  • Provides the tools to support analysis and interpretation


List of contents

1. Introduction to Mathematical Modeling for Business Analytics 2. Introduction to Stochastic Decision-Making Models for Business Analytics 3. Mathematical Programming Models: Linear, Integer, and Nonlinear Optimization 4. Introduction to Multi-Attribute Decision-Making in Business Analytics 5. Modeling with Game Theory 6. Regression and Advanced Regression Models 7. Discrete Dynamical System Models 8. Simulation Modeling 9. Mathematics of Finance with Discrete Dynamical System

 

About the author










William P. Fox is a professor in the Department of Defense Analysis at the Naval Postgraduate School. He received his Ph.D. at Clemson University and has taught at the United States Military Academy and at Francis Marion University where he was the chair of mathematics. He has written many publications including sixteen books, and one hundred and fifty journal articles. He is president-emeritus of the NPS faculty council and the current Vice Chair for Programs for BIG SIGMAA.


Summary

Decision makers at all levels must be exposed to the latest tools and techniques available to help them in the decision process. They need to have and use technology to assist in the analysis process. The interpretation and explanation of the results are crucial to understanding the strengths and limitations of modeling.

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