Promotions - Choice's Outstanding Academic Titles 2019 -

Olivieri (Univ. of Rosario, Argentina) has published extensively on analytical chemistry. The present book, focused on a facet of chemometrics known as multivariate calibration, has evolved in several stages from 2001 to 2018. Chemometrics draws on chemistry, math, and statistics. A familiar starting point is linear least squares analysis. Most of this book involves linear relationships, but it quickly develops into multivariate calibration. Matrix methods permeate the discussion, aided by the use of MATLAB software. In the last of the 12 chapters, nonlinearity extends the discussion. Throughout the text, careful attention is given to calibration, prediction, and validation. In each chapter a real case illustrates the relationships, and there are exercises with concise solutions included at the end of the book. Chapter 11, which is a primer on the calibration software MVC1, is particularly useful; MATLAB has an open access version of this tool. Rich, concrete examples are lavishly illustrated, and ample references are provided. The text overall is challenging and rewarding for students and specialists alike.Summing Up: Highly recommended. Advanced undergraduates and above.