Graphical analysis of multi-response data : illustrated with a plant breeding trial
Author(s)
Bibliographic Information
Graphical analysis of multi-response data : illustrated with a plant breeding trial
（Interdisciplinary statistics）
Chapman & Hall/CRC, c1999
- Other Title
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Graphical analysis of multiresponse data : illustrated with a plant breeding trial
Available at 15 libraries
Note
Bibliography: p. [575]-577
Includes indexes
Description and Table of Contents
Description
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:
What can usefully be done
Consequences for the example
Approaches and choices in more detail
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.
Table of Contents
- PART A Introduction to Part A The Example Styles of Analysis PART B Introduction to Part B Overall Behaviour: SPLOMs across Attributes and across Environments Semigraphical Comparison of Genotypes for ech Attibute-Environment Pair Profiles of Individual Genotypes and Groups SPLOMs for Genotype Groups Re-Attribution of the Responses on the 43 Genotypes Semigraphical Displays for the Re-Attributed Data Re-Envionmenting Re-Expression PART C Introduction to Part C Global Aspects of the Data Data Laundry Choices of Expression Seeking Exotic Values Local Analyses and Displays Combined Analyses Grouping and Labelling Genotypes Idolinkage, Nearest and Centroid Other Blended Forms
- Xpanded Idiolinkage Robust Forms of Idiolinkage Idiomax Robust Sphering A Side Issue and More Carful Sphering Detrivialization of One- and Two-Way Tables: An Introduction Later Attributes and Subtables Sphering the Soybean Data Grouping the Soybean Genotypes Ordering the Environments One Approach to Plotting Smoothing Short Sequences (of perhaps 6 to 18 Values) Presentations across Attibutes Choice of Expression: Generalities Removable Inhomogeneity of Variability Removable Non-Additivity Linearity of Response Relative Importance and Combination Interpretation and Hybridization APPENDICES REFERENCES
by "Nielsen BookData"