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Synopsis
Most chemists who wish to interpret and analyze data want to know how to use analytical techniques but are not concerned with the details of statistical theory. This practical guide provides the information they need. The most common mathematical and statistical methods used to analyze chemical data are described and illustrated with a wide range of examples. These are drawn from pharmaceutical and agrochemical design, with emphasis placed on the generation of quantitative structure-activity relationships. By including multivariate methodology, this book shows chemists and other researchers in academia and industry how to use important analytical techniques which are usually reserved for statisticians.
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About the Author
David Livingstone is at University of Portsmouth.
Review
"This book provides a thorough introduction to multivariate statistics, applied primarily to drug design. As stated in the book's preface, the book is not a statistical textbook, but rather is meant as a statistical companion to the novice or casual user. In that role, this book succeeds. . . .A person specifically seeking introductory information on drug design and/or QSAR could not find a clearer presentation than this." --Journal of the American Chemical Society
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- PublisherOxford University Press
- Publication date1996
- ISBN 10 0198557280
- ISBN 13 9780198557289
- BindingHardcover
- LanguageEnglish
- Number of pages256
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Data Analysis for Chemists: Applications to QSAR and Chemical Product Design
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ISBN 10: 0198557280
ISBN 13: 9780198557289
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Data Analysis for Chemists : Applications to QSAR and Chemical Product Design
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ISBN 10: 0198557280
ISBN 13: 9780198557289
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Data Analysis for Chemists: Applications to QSAR and Chemical Product Design
Published by
Oxford University Press, 1996
ISBN 10: 0198557280
ISBN 13: 9780198557289
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Hardcover
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