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Spatial Decision Support Systems: Principles and Practices
Spatial Decision Support Systems: Principles and Practices

Geographic information systems (GIS) have been under continuous development for several decades. By now, they are both well known and widely used, and have become integral elements of information technology applications in a wide variety of domains. In its simplest form, GIS software enables users to address a variety of questions...

Classical Feedback Control: With MATLAB® and Simulink®, Second Edition (Automation and Control Engineering)
Classical Feedback Control: With MATLAB® and Simulink®, Second Edition (Automation and Control Engineering)

This second edition textbook describes the design and implementation of high-performance feedback controllers for engineering systems. It emphasizes the frequency-domain design and methods based on Bode integrals, loop shaping, and nonlinear dynamic compensation. The authors include many problems and offer practical applications,...

Electrical Machines with MATLAB®
Electrical Machines with MATLAB®

Electrical Machines with MATLAB® encapsulates the invaluable insight and experience that eminent instructor Turan Gönen has acquired in almost 40 years of teaching. With simple, versatile content that separates it from other texts on electrical machines, this book is an ideal self-study tool for advanced...

Design Reliability: Fundamentals and Applications
Design Reliability: Fundamentals and Applications
As engineering systems become more and more complex, industry has recognized the importance of system and product reliability and places ever increasing emphasis on it during the design phase. Despite its efforts, however, industry continues to lose billions of dollars each year because of unexpected system failures. Therefore, it becomes...
Modern Data Science with R (Chapman & Hall/CRC Texts in Statistical Science)
Modern Data Science with R (Chapman & Hall/CRC Texts in Statistical Science)

Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the...

Exploratory Multivariate Analysis by Example Using R (Chapman & Hall/CRC Computer Science & Data Analysis)
Exploratory Multivariate Analysis by Example Using R (Chapman & Hall/CRC Computer Science & Data Analysis)

Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitative, correspondence analysis...

Electronics and Circuit Analysis Using MATLAB
Electronics and Circuit Analysis Using MATLAB

Useful to students, professional engineers, scientists, and technicians, Electronics and Circuit Analysis Using MATLAB

  • provides a simple, easy-to-understand, hands-on introduction to MATLAB
  • demonstrates the use of MATLAB for solving electronic problems
  • outlines various ways MATLAB solves...
Foundational and Applied Statistics for Biologists Using R
Foundational and Applied Statistics for Biologists Using R

Full of biological applications, exercises, and interactive graphical examples, Foundational and Applied Statistics for Biologists Using R presents comprehensive coverage of both modern analytical methods and statistical foundations. The author harnesses the inherent properties of the R environment to enable students...

Statistical Computing in C++ and R (Chapman & Hall/CRC The R Series)
Statistical Computing in C++ and R (Chapman & Hall/CRC The R Series)

With the advancement of statistical methodology inextricably linked to the use of computers, new methodological ideas must be translated into usable code and then numerically evaluated relative to competing procedures. In response to this, Statistical Computing in C++ and R concentrates on the writing of code rather...

Introduction to Linear Optimization and Extensions with MATLAB® (Operations Research Series)
Introduction to Linear Optimization and Extensions with MATLAB® (Operations Research Series)

Filling the need for an introductory book on linear programming that discusses the important ways to mitigate parameter uncertainty, Introduction to Linear Optimization and Extensions with MATLAB® provides a concrete and intuitive yet rigorous introduction to modern linear optimization. In addition to fundamental topics,...

Signal Processing for Intelligent Sensor Systems with MATLAB® (Signal Processing and Communications)
Signal Processing for Intelligent Sensor Systems with MATLAB® (Signal Processing and Communications)

Signal Processing for Intelligent Sensors with MATLAB®, Second Edition once again presents the key topics and salient information required for sensor design and application. Organized to make it accessible to engineers in school as well as those practicing in the field, this reference...

Graphics for Statistics and Data Analysis with R (Chapman & Hall/CRC Texts in Statistical Science)
Graphics for Statistics and Data Analysis with R (Chapman & Hall/CRC Texts in Statistical Science)

Graphics for Statistics and Data Analysis with R presents the basic principles of sound graphical design and applies these principles to engaging examples using the graphical functions available in R. It offers a wide array of graphical displays for the presentation of data, including modern tools for data...

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