 |  | Business, Economics, and Finance with Matlab, GIS, and Simulation Models
Patrick L Anderson, BBK, Lansing, Michigan, USA
CRC Press
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Engineering
- Presents the first in-depth exploration of applications of MATLAB modeling in business, economics, and finance
- Integrates geographic information and the data provided by Geographic Information Systems-one of the first texts to exploit the recent advances in available data
- Analyzes MATLAB usage in a thin client computing environment
- Devotes special attention to the Simulink simulation modeling environment--the first book to do so-and describes the construction of a library of specialized tools
- Focuses on online model information sharing, design and display options, and superior graphics
- Examines Fuzzy Logic business applications, including an Internet-based income tax audit predictor
- Explores the use of simulation methods and financial applications for analyzing mortgages, growth models, and depreciation
- Provides an overview of applications in economics, manufacturing, retail sales, and public policy
Although there are hundreds of books about MATLAB, there are no books that fully explore its value in the field of business economics. Few books describe how geographic information can be explicitly incorporated in business decisions, or explain how sophisticated MATLAB applications can be provided to users via the Internet using a remote-hosted, thin client environment.
Business, Economics and Finance with MATLAB, GIS and Simulation Models responds by providing a unique overview of sophisticated business and financial applications. This book describes models that have been developed for facing the challenges of finance, retail sales, taxes, location, economic impact, public policy, and other issues that executives, investors, and economists confront on a daily basis. It also offers groundbreaking insight into the many calculation and modeling tools that can be remotely hosted and run over the Internet, resulting in substantial user benefits and cost savings.
Many techniques and models directly incorporate geographic information and GIS into the analysis in a way that was impossible until quite recently. Some techniques, such as fuzzy logic, retail sales, and Simulink economic impact models are described for the first time in print in this book.
By following this blueprint, you will be able to direct tremendously higher amount of computational power toward the challenges that confront your business.
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Table of Contents
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Patrick L Anderson BBK Lansing Michigan USA Business Economics Finance Matlab GIS Simulation Models |
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