Practical Guide to Chemometrics, Second Edition offers an accessible introduction to application-oriented multivariate methods of data analysis and procedures for solving a variety of problems using analytical chemistry and statistics. This second edition has been completely revised to feature new chapters on principal component analysis, self-modeling curve resolution, and multi-way analysis methods. It includes expanded material on normal distributions, sampling theory, signal processing, and digital filtering. It also discusses trends in chemometrics and identifies areas for future development. With summaries, solutions to problems, recommended reading, and references for each chapter, this text remains an essential resource for students, professionals, and researchers in the field.