Nonlinear regression modeling for engineering applications : modeling, model validation, and enabling design of experiments

Recommended by: Prof. Job Immanuel Encarnacion

Author Russell R. Rhinehart
Place of Publication Chichester, West Sussex
Date of Publication 2016
Publisher Wiley/ASME Press

Since mathematical models express our understanding of how nature behaves, we use them to validate our understanding of the fundamentals about systems (which could be processes, equipment, procedures, devices, or products). Also, when validated, the model is useful for engineering applications related to diagnosis, design, and optimization.

First, we postulate a mechanism, then derive a model grounded in that mechanistic understanding. If the model does not fit the data, our understanding of the mechanism was wrong or incomplete. Patterns in the residuals can guide model improvement. Alternately, when the model fits the data, our understanding is sufficient and confidently functional for engineering applications.

This book details methods of nonlinear regression, computational algorithms,model validation, interpretation of residuals, and useful experimental design. The focus is on practical applications, with relevant methods supported by fundamental analysis.

This book will assist either the academic or industrial practitioner to properly classify the system, choose between the various available modeling options and regression objectives, design experiments to obtain data capturing critical system behaviors, fit the model parameters based on that data, and statistically characterize the resulting model. The author has used the material in the undergraduate unit operations lab course and in advanced control applications.

Simulation modeling and Arena, 2nd Ed.

Recommended by: Dr. Virginia J. Soriano (IE 144, 281)

Author Manuel D. Rossetti
Place of Publication Hoboken, New Jersey
Date of Publication [2016]
Publisher John Wiley & Sons, Inc.

Emphasizes a hands-on approach to learning statistical analysis and model building through the use of comprehensive examples, problems sets, and software applications

With a unique blend of theory and applications, Simulation Modeling and Arena®, Second Edition integrates coverage of statistical analysis and model building to emphasize the importance of both topics in simulation. Featuring introductory coverage on how simulation works and why it matters, the Second Edition expands coverage on static simulation and the applications of spreadsheets to perform simulation.

The new edition also introduces the use of the open source statistical package, R, for both performing statistical testing and fitting distributions. In addition, the models are presented in a clear and precise pseudo-code form, which aids in understanding and model communication. Simulation Modeling and Arena, Second Edition also features:

Updated coverage of necessary statistical modeling concepts such as confidence interval construction, hypothesis testing, and parameter estimation
Additional examples of the simulation clock within discrete event simulation modeling involving the mechanics of time advancement by hand simulation
A guide to the Arena Run Controller, which features a debugging scenario
New homework problems that cover a wider range of engineering applications in transportation, logistics, healthcare, and computer science
A related website with an Instructor’s Solutions Manual, PowerPoint® slides, test bank questions, and data sets for each chapter
Simulation Modeling and Arena, Second Edition is an ideal textbook for upper-undergraduate and graduate courses in modeling and simulation within statistics, mathematics, industrial and civil engineering, construction management, business, computer science, and other departments where simulation is practiced. The book is also an excellent reference for professionals interested in mathematical modeling, simulation, and Arena.


Introduction to operations research, 10th Ed.

Recommended by: Dr. Virginia J. Soriano (IE 41)

Authors Frederick S. Hillier, Gerald J. Lieberman
Place of Publication New York, NY
Date of Publication [2015]
Publisher McGraw-Hill

For over four decades, Introduction to Operations Research by Frederick Hillier has been the classic text on operations research. While building on the classic strengths of the text, the author continues to find new ways to make the text current and relevant to students. One way is by incorporating a wealth of state-of-the-art, user-friendly software and more coverage of business applications than ever before. The hallmark features of this edition include clear and comprehensive coverage of fundamentals, an extensive set of interesting problems and cases, and state-of-the-practice operations research software used in conjunction with examples from the text. The tenth edition includes new section and chapters, upated problems, and state-of-the-practice operations research software used in conjunction with the examples from the text. McGraw-Hill is proud to offer Connect with the tenth edition of Hillier’s, Introduction to Operations Research. This innovative and powerful system helps your students learn more efficiently and gives you the ability to customize your homework problems simply and easily. Track individual student performance – by question, assignment, or in relation to the class overall with detailed grade reports. ConnectPlus provides students with all the advantages of Connect, plus 24/7 access to an eBook. Hillier’s Introduction to Operations Research, tenth edition, includes the power of McGraw-Hill’s LearnSmart – a proven adaptive learning system that helps students learn faster, study more efficiently, and retain more knowledge through a series of adaptive questions. This innovative study tool pinpoints concepts the student does not understand and maps out a personalized plan for success.

Advanced engineering mathematics, 8th Ed.

Recommended by: Prof. John Michael Constantino (IE 241)

Author Peter V. O’Neil
Place of Publication Boston, MA
Date of Publication [2018]
Publisher Cengage Learning

Now you can make rigorous mathematical topics accessible to your students by emphasizing visuals, numerous examples, and interesting mathematical models with O’Neil’s ADVANCED ENGINEERING MATHEMATICS, 8E. New “Math in Context” broadens the engineering connections for your students by clearly demonstrating how mathematical concepts are applied to current engineering problems. You have the flexibility to select additional topics that are best for your individual course, including many new web modules while minimizing the cost of the printed book.

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