
Mathematical Modeling for Business Analytics
William Fox(Author)
Chapman & Hall/CRC (Publisher)
1st Edition
Published on 21. January 2023
Book
Paperback/Softback
450 pages
978-1-032-47640-7 (ISBN)
Description
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
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
More details
Series
Language
English
Place of publication
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Illustrations
156 s/w Abbildungen
156 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
Weight
240 gr
ISBN-13
978-1-032-47640-7 (9781032476407)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

William Fox
Mathematical Modeling for Business Analytics
Book
12/2017
1st Edition
CRC Press
€187.60
Shipment within 10-20 days

William Fox
Mathematical Modeling for Business Analytics
E-Book
12/2017
Chapman & Hall/CRC
€65.99
Available for download

William Fox
Mathematical Modeling for Business Analytics
E-Book
12/2017
Chapman & Hall/CRC
€65.99
Available for download
Person
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.
Content
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