![]() ![]() Statisticians, data analysts, biometricians, plant breeders, behavioral scientists, social scientists, and engineering scientists will find Graphical Analysis of Multiresponse Data offers invaluable assistance. That structure enables the reader to obtain an overview of what can be found, and to then delve into various aspects more deeply if desired. Graphical Analysis of Multiresponse Data is arranged into three parts:What can usefully be done Techniques for choosing expressions for the observed quantities are also emphasized. The interpretation of these displays, as an aid to understanding, is illustrated and discussed. ![]() ![]() These procedures result in overlap plots, their corresponding semigraphical tables, scatter plot matrices, profiles across environments and attributes for individual genotypes and groups of genotypes, and principal components. These procedures are then used, in various ways, to analyze, summarize, and present data from a specific, well-known plant breeding trial. A comprehensive summary of new and existing approaches to analyzing multiresponse data, Graphical Analysis of Multiresponse Data emphasizes graphical procedures. ![]()
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