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Graphical Analysis of Multi-Response Data: Illustrated with a Plant Breeding Trial: 6 (Chapman & Hall/CRC Interdisciplinary Statistics) - Tapa dura
Libro 41 de 45: Chapman & Hall/CRC Interdisciplinary Statistics
Sinopsis
A comprehensive summary of new and existing approaches to analyzing multiresponse data, Graphical Analysis of Multiresponse Data emphasizes graphical procedures. These procedures are then used, in various ways, to analyze, summarize, and present data from a specific, well-known plant breeding trial.
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.
The interpretation of these displays, as an aid to understanding, is illustrated and discussed. Techniques for choosing expressions for the observed quantities are also emphasized.
Graphical Analysis of Multiresponse Data is arranged into three parts:
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.
Statisticians, data analysts, biometricians, plant breeders, behavioral scientists, social scientists, and engineering scientists will find Graphical Analysis of Multiresponse Data offers invaluable assistance. Its details are also of interest to scientists in private firms, government institutions, and research organizations who are concerned with the analysis and interpretation of experimental multiresponse data.
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Acerca del autor
Basford, Kaye Enid; Tukey, John Wilder
"Sobre este título" puede pertenecer a otra edición de este libro.
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Graphical Analysis of Multi-Response Data: Illustrated With a Plant Breeding Trial
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Chapman & Hall, 1999
ISBN 10: 0849303842
ISBN 13: 9780849303845
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Graphical Analysis of Multi-Response Data
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CRC Press LLC, 1998
ISBN 10: 0849303842
ISBN 13: 9780849303845
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Graphical Analysis of Multi-Response Data: Illustrated with a Plant Breeding Trial (Chapman & Hall/CRC Interdisciplinary Statistics)
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