This book's purpose is to shed some light on the meaning and interpretations of many of the types of models that are or might be used in the presentation of analysis. Understanding the concepts presented is essential in the entire modeling process of a pandemic.
This book's purpose is to shed some light on the meaning and interpretations of many of the types of models that are or might be used in the presentation of analysis. Understanding the concepts presented is essential in the entire modeling process of a pandemic.
Dr. William P. Fox is an Emeritus Professor in the Department of Defense Analysis at the Naval Postgraduate School. Currently, he is a Visitng Professor of Computational Operations Research in the Department of Mathematics at the College of William and Mary. He received his BS degree from the United States Military Academy at West Point, New York, his MS in operations research from the Naval Postgraduate School, and his Ph.D. in Industrial Engineering from Clemson University. He has taught at the United States Military Academy, at Francis Marion University where he was the chair of mathematics for eight years, and twelve years at the Naval Postgraduate School. He has many publications and scholarly activities including over twenty books (6 with CRC Press), twenty-two chapters of books & technical reports, one hundred and fifty journal articles, and over one hundred and fifty conference presentations and mathematical modeling workshops.
Inhaltsangabe
Preface 1. Modeling as a Process 2. DISCRETE DYNAMICAL SYSTEM MODELS 3. Modeling Coupled Systems of Discrete Dynamical Systems 4. Modeling with Differential Equation 5. Systems of Differential Equations 6. Probabilistic Models 7. Hypothesis Tests 8. Two Samples Hypothesis test (means and proportions) 9. Agent Based Model with NetLogo 10. Concluding Remarks and Epilogue References Index
Preface 1. Modeling as a Process 2. DISCRETE DYNAMICAL SYSTEM MODELS 3. Modeling Coupled Systems of Discrete Dynamical Systems 4. Modeling with Differential Equation 5. Systems of Differential Equations 6. Probabilistic Models 7. Hypothesis Tests 8. Two Samples Hypothesis test (means and proportions) 9. Agent Based Model with NetLogo 10. Concluding Remarks and Epilogue References Index
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