Chemometrics in Spectroscopy builds upon the statistical information covered in other books written by these leading authors in the field by providing a broader range of mathematics and progressing into the fundamentals of multivariate and experimental data analysis. Subjects covered in this work include: matrix algebra, analytic geometry, experimental design, calibration regression, linearity, design of collaborative laboratory studies, comparing analytical methods, noise analysis, use of derivatives, analytical accuracy, analysis of variance, and much more are all part of this...

Statistics in Spectroscopy, Second Edition, is an expanded and updated version of the original title. The aim of the book is to bridge the gap between the average chemist/spectroscopist and the study of statistics.

The book introduces the novice reader to the ideas and concepts of statistics and uses spectroscopic examples to show how these concepts are applied. Several key statistical concepts are introduced through the use of computer programs.

Serves as a primer for all chemists who

Dealing with the principles of calibration--both the theoretical and mathematical constructs which relate features of calibration equations to the physical phenomena that affect instruments and samples used on generating information. Among derivations in leading spectroscopic and statistical literature, numerous necessary mathematical derivations have been specifically designed for this book. Covers the practical aspects of generating a calibration equation including how to recognize and deal with various types of problems affecting calibration dataset, relating theoretical ideas, and their...