Publisher's Synopsis
The scope and application of multivariate statistics to problems encountered by the pesticide and drug industries is the subject of this book. With current developments in computer technology, 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 and activity relationships require these methods in order to identify correlations between molecular properties and biological responses. Biologists concerned with the evaluation of clinical or field trials can gain a better understanding of the complex systems under study by using multivariate techniques.;In its clear exposition of the nature of multivariate association and multicollinearity, together with a look at ways of how to think and operate in space, this book provides a reference source for the pesticide and drug industries. Each chapter contains a formal account of a chosen topic, followed by examples and exercises based on case studies to illustrate the text, and the book is divided into four sections covering ordination methods, grouped data methods, classification methods, and methods for comparing ordinations.
