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The author uses his extensive classroom experience to guide students toward deeper understanding of key concepts, while they gain facility with software they will need to master for later studies and practical use in their engineering careers.
Readers begin with simple data operations and the underlying theory of choice analysis and conclude by working with sophisticated models including latent class logit models, mixed logit models, and ordinal logit models with taste heterogeneity.
This book focuses on methods and models in classification and data analysis and presents real-world applications at the interface with data science.
This book discusses modelling and analysis of Magnetic Resonance Imaging (MRI) data of the human brain.
Lastly, the authors demonstrate the performance of the algorithms for solving a wide range of global optimization problems with... Læs mere
This open access volume explains the foundations of modern solvers for ordinary differential equations (ODEs). Formulating and solving ODEs is an... Læs mere
This book helps the reader make use of the mathematical models of biological phenomena starting from the basics of programming and computer simulation.
The book is designed to be very accessible, with a focus on methods, examples, and computing, and theoretical details kept to an absolute minimum. It could be used as... Læs mere
For advanced undergraduate or non-major graduate students in Advanced Statistical Modeling or Regression II... Læs mere
This edited volume analyses leadership in the public relations (PR) industry with a specific focus on women and their leadership styles and preferences.
This book unpacks the complex dynamics of Hong Kong students’ choice in pursuing undergraduate education at the universities of... Læs mere