Design and Analysis in Chemical Research

Recent years have seen massive changes in the tools and
instrumentation available to chemists, in the scale of databases
linking the properties of pure materials, solutions or other
mixtures to molecular structure, and in the sheer ability of
chemists to collect data through automated data acquisition
systems. Despite these advances, many chemists still apply only
rudimentary data analysis techniques and remain unaware of the
advances made in information extraction over the last decade or so.

This volume covers the principles of design and analysis in
chemical research and development. It is organised in chapters
dealing with major activities, and understanding is generated
through large numbers of examples and practical applications
relating to research and development chemistry. Authors adopt a
user-friendly approach, concentrating on principles and
interpretation rather than formal derivation and proof. A principal
theme is that statistics and chemometrics (which relies on
statistics) are essentially extensions of the logical processes
used every day by chemists, and that they bring greater
understanding of problems more quickly and easily than purely
intuitive methods.