Mathematical modeling for business analytics

By:

Fox, William P

Material type: Text

TextPublication details: CRC Press Boca Raton 2018Description: xix, 429 pISBN:

9781032476407

Subject(s):

DDC classification:

658.4033 FOX

Summary: 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 (https://www.routledge.com/Mathematical-Modeling-for-Business-Analytics/Fox/p/book/9781032476407?srsltid=AfmBOorxOdL3cBPZjVQ2Ks2L92JUdHBoyFWUzhQi3aQLUJUQYrCDeiFP)

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Operations Management & Quantitative Techniques	658.4033 FOX (Browse shelf(Opens below))	1	Available		007908

Table 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
(https://www.routledge.com/Mathematical-Modeling-for-Business-Analytics/Fox/p/book/9781032476407?srsltid=AfmBOorxOdL3cBPZjVQ2Ks2L92JUdHBoyFWUzhQi3aQLUJUQYrCDeiFP)

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

(https://www.routledge.com/Mathematical-Modeling-for-Business-Analytics/Fox/p/book/9781032476407?srsltid=AfmBOorxOdL3cBPZjVQ2Ks2L92JUdHBoyFWUzhQi3aQLUJUQYrCDeiFP)

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