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
