Multivariate, heterogeneous data has been traditionally analyzed using the "one at a time" variable approach, often missing the main objective of discovering the relationships among multiple variables and samples. Enter chemometrics, with its powerful tools for design, analysis, and data interpretation of complex environmental systems. Delineating
PREFACE. TABLE OF CONTENTS. GLOSSARY OF KEY TERMS AND SYMBOLS. CHAPTERS. Introduction. Basic Statistics and Quantitative Figures of Merit. Experimental Design and Optimization Techniques. Environmental Sampling & Monitoring Strategies - and Experimental Design Approach. Multivariate Analysis of Environmental Data. Time-Series of Environmental Data. Quality Assurance/Control and Method Validation. SUBJECT INDEX. SOLUTIONS TO CHAPTER PROBLEMS. APPENDICES: EXPANDED DATA SETS FOR RESEARCH APPLICATIONS PRESENTED IN THE VARIOUS CHAPTERS.