ABSTRACT

Using formal descriptions, graphical illustrations, practical examples, and R software tools, Introduction to Multivariate Statistical Analysis in Chemometrics presents simple yet thorough explanations of the most important multivariate statistical methods for analyzing chemical data. It includes discussions of various statistical methods, such as

chapter 1|30 pages

Introduction

chapter 2|28 pages

Multivariate Data

chapter 3|44 pages

Principal Component Analysis

chapter 4|92 pages

Calibration

chapter 5|56 pages

Classification

chapter 6|32 pages

Cluster Analysis

chapter 7|10 pages

Preprocessing