Roy Tranter
2/18/2000
A user-friendly approach that concentrates on principles
and interpretation rather than formal derivation and proofEmphasis on examples and practical
applications relating to
research and development chemistryA team of high-profile authors
from industrial and academic backgrounds
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.
Table of ContentsAlternative 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
References
Index
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