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Graphical Analysis of Multi-Response Data

By Kaye Enid Basford, John Wilder Tukey

Series Editor: Byron J.T. Morgan, Niels Keiding, Peter Van der Heijden

Chapman and Hall/CRC – 1998 – 592 pages

Series: Chapman & Hall/CRC Interdisciplinary Statistics

Purchasing Options:

  • Add to CartHardback: $179.95
    978-0-8493-0384-5
    October 21st 1998

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.

  • Reviews

    "…collaboration between a recognized expert in graphical data exploration methods, and a statistician experienced in the analysis of data from plant breeding trials."

    M. Talbot, Biometrics, Vol. 56, No. 2, June 2000

    "…the book is likely to be of most interest to a statistician involved in plant breeding or, perhaps, to an academic with interests in graphical data analysis techniques."

    M. Talbot, Biometrics, Vol. 56, No. 2, June 2000

    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

    Name: Graphical Analysis of Multi-Response Data (Hardback)Chapman and Hall/CRC 
    Description: By Kaye Enid Basford, John Wilder TukeySeries Editor: Byron J.T. Morgan, Niels Keiding, Peter Van der Heijden. 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...
    Categories: Statistics for the Biological Sciences, Quantitative Methods, Botany