Chemists in research and development laboratories have relatively few published resources on the design and analysis of experiments. In recent years massive changes have occurred in the tools and instrumentation at their disposal, in the scale of databases linking the properties of pure materials, solutions or other mixtures to molecular structure, and in the sheer ability 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.
Design and Analysis in Chemical Research provides the means to overcome that problem. An international panel of contributors address the principles of design and analysis in chemical research and development, with a thoughtful, user-friendly approach. Organized in chapters dealing with major activities, this volume generates understanding through numerous examples and practical applications drawn from research and development chemistry. The authors concentrate on principles and interpretation rather than formal derivation and proof, and adopt the unifying theme that statistics and chemometrics are essentially extensions of the logical processes used every day by chemists. Thus, they allow a greater understanding of problems more quickly and easily than purely intuitive methods.
Alternative Methods for Modeling and Description, S. Gull, MaxEnt Solutions Ltd., Ely, United Kingdom
Significance Testing, M.E. Gerson, Quality Centre for Engineering, University of Newcastle-upon-Tyne, United Kingdom
Experiment Design-Identifying Important Effects on Responses, S. Godbert, Glaxo Wellcome Research & Development, Ware, United Kingdom
Optimization and Control D. Kourti, McMaster University, Canada
Regression Methods-Principal Component Based, O.M. Kvalheim, University of Bergen, Norway
Experiment Design-Estimating the Sizes of Effects on Data, I. Langhans, CQ Consultancy, Heverlee, Belgium
The Benefits and Problems of a Statistical Approach, M.A. Porter, Glaxo Wellcome, Ulverson, United Kingdom
Robust and Non-Parametric Methods, J.M. Thompson, Rugeley, United Kingdom
Nonlinear and Alternative Modeling Methods, B.M. Wise, Eigenvector Research Inc., Manson, USA
Analysis of Variance, M.A. Porter, Glaxo Wellcome, Ulverston, United Kingdom
Sampling, J.M. Thompson, Rugeley, United Kingdom
Cluster Analysis and Discriminant Analysis, W. Melson, University of Nijmegen, The Netherlands
Essentials of Data Gathering and Data Description, R. Tranter, Glaxo Wellcome Operations, County Durham, United Kingdom