Timmons D.L., Johnson C.W., McCook S.M. Fundamentals of Algebraic Modeling: An Introduction to Mathematical Modeling with Algebra and Statistics

Cambridge University Press, 2005. - 220 pages. Mathematical models in the social sciences have become increasingly sophisticated and widespread in the last decade. This period has also seen many critiques, most lamenting the sacrifices incurred in pursuit of mathematical perfection. If, as critics argue, our ability to understand the world has not improved during the mathematization of the social sciences, we might want to adopt a different para...

Academic Press, 2004. - 303 pages. Science and engineering students depend heavily on concepts of mathematical modeling. In an age where almost everything is done on a computer, author Clive Dym believes that students need to understand and "own" the underlying mathematics that computers are doing on their behalf. His goal for Principles of Mathematical Modeling, Second Edition, is to engage the student reader in developing a foundational unders...

3 Edition; China Machine Press, 2003. - 538 pages. This text provides an introduction to the entire modeling process. Throughout the book, students practice key facets of modeling, including creative and empirical model construction, model analysis, and model research. The authors apply a proven six-step problem solving process to enhance a student's problem solving capabilities. Rather than simply emphasizing the calculation step, the authors f...

Springer, 2011. 288 p. ISBN: 9400704488 The process of developing models, known as modeling, allows scientists to visualize difficult concepts, explain complex phenomena and clarify intricate theories. In recent years, science educators have greatly increased their use of modeling in teaching, especially real-time dynamic modeling, which is central to a scientific investigation. Modeling in science teaching is being used in an array of fields,...

Prentice Hall, 1994. - 368 Pages. Written by a recognized authority in the field of identification and control, this book draws together into a single volume the important aspects of system identification AND physical modelling. KEY TOPICS: Explores techniques used to construct mathematical models of systems based on knowledge from physics, chemistry, biology, etc. (e.g. , techniques with so called bond-graphs, as well those which use computer...

Thompson Brooks/Cole, 2005. - 368 pages. This mathematics text introduces powerful mathematical modeling techniques while providing you with the tools you need to succeed. Exercises with answers, suggested computer projects with specific instructions for their completion, and the book-specific website are just a few of the tools that will help you master the material. Coverage of current research, such as dynamical systems, shows you that mathem...

Sciyo, 2010. - 354 pages. Modeling, simulation and identification has been actively researched in solving practical engineering problems. This book presents the wide applications of modeling, simulation and identification in the fields of electrical engineering, mechanical engineering, civil engineering, computer science and information technology. The book consists of 17 chapters arranged in an order reflecting multidimensionality of applicatio...

Lawrence Erlbaum Associates, 2000. - 204 pages. What Is Structural Equation Modeling? Structural equation modeling is a statistical methodology used by biologists, economists, educational researchers, marketing researchers, medical researchers, and a variety of social and behavioral scientists. One reason for its pervasive use in many scientific fields of study is that structural equation modeling provides researchers with a comprehensive method...

Wiley, 2010. - 437 pages. Modeling and simulation has become an integral part of research and development across many fields of study, having evolved from a tool to a discipline in less than two decades. Modeling and Simulation Fundamentals offers a comprehensive and authoritative treatment of the topic and includes definitions, paradigms, and applications to equip readers with the skills needed to work successfully as developers and users of mo...

Wiley, 2009. - 362 pages. This concise and clear introduction to the topic requires only basic knowledge of calculus and linear algebra — all other concepts and ideas are developed in the course of the book. Lucidly written so as to appeal to undergraduates and practitioners alike, it enables readers to set up simple mathematical models on their own and to interpret their results and those of others critically. To achieve this, many examples hav...