This textbook integrates chemical principles with real-world applications. It explores how chemistry is used in decisions about health, environment, and industry. Designed for students in general chemistry courses, with an emphasis on informed choices.
This comprehensive text covers the theory and practical implementation of multivariate density estimation. It explores kernel methods, bandwidth selection, and high-dimensional data visualization, offering insights into both statistical theory and computational techniques. Suitable for graduate students, researchers, and professionals in statistics and data science.