Publisher's Synopsis
With current developments in computer terminology, it is now possible for pesticide and drug scientists to investigate problems involving the study of large sets of data comprising many variables. These data can be processed using multivariate methods of analysis. Chemists and pharmacologists investigating structure/activity relationships require such methods in order to identify correlations between molecular properties and biological responses.;Biologists concerned with the evaluation of clinical or field trials, in which a great many variables may be measured but not controlled, can gain a better understanding of the complex systems under study by application of multivarate statistics to problems encountered by the pesticide and drug industries.;The text is organized into four general topics: ordination methods; grouped data methods; classification methods; methods for comparing ordinations.
