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 ...
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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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Add this copy of Data Analysis for Chemists: Applications to Qsar and to cart. $5.00, good condition, Sold by HPB-Red rated 5.0 out of 5 stars, ships from Dallas, TX, UNITED STATES, published 1996 by Oxford University Press.
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