Mathematical Modeling for Business Analytics

Informationen zum Autor 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. Zusammenfassung 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. Inhaltsverzeichnis 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

Product details

• Authors: Fox, William Fox, William P. Fox, William P. (Naval Postgraduate School) Fox, William P. (U.s. Naval Post Graduate School) Fox
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 31.12.2017
• EAN: 9781138556614
• ISBN: 978-1-138-55661-4
• No. of pages: 430
• Series: Textbooks in Mathematics; Textbooks in Mathematics
• Subjects: Humanities, art, music > Art > Interior design, design; Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; MATHEMATICS / General, BUSINESS & ECONOMICS / Operations Research, Mathematics, TECHNOLOGY & ENGINEERING / Operations Research, Management decision making, Probability & statistics, Operational research, Engineering: general, Mathematical modelling, Management and management techniques, Probability and statistics