Results 251 to 260 of about 45,228 (298)

Dataset of multi-trait analysis of maize hybrid under shading and drought stress based on GGE biplot, MTSI and MDIGI. [PDF]

Data Brief
Fauzan MR, Abdullah MA, Ridara F, Ustari D, Ruswandi D.   +4 more
europepmc   +1 more source

Genotype × environment interaction studies in monoecious and gynoecious bitter gourd (Momordica charantia L.) genotypes for stability using multi-model based approach. [PDF]

Sci Rep
Moharana DP, Bhardwaj DR, Pramanik K, Sagar V, Kashyap SP, Prasad I, Gautam KK, Mishra PP, Mishra P, Singh AK, Paital B, Sahoo DK.   +11 more
europepmc   +1 more source

Area Biplots [PDF]

Journal of Computational and Graphical Statistics, 2010
Classical multivariate analysis techniques such as principal components analysis and correspondence analysis use inner products to estimate data values. The results of these techniques may be visualized by representing the row and column points jointly in a biplot where the projection of a row point onto a column point vector followed by a ...
Gower, J.C., Groenen, P.J.F., van de Velden, M.   +2 more
openaire   +2 more sources

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Nonmetric Linear Biplots

Journal of Classification, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gower, J. C., Meulman, J. J., Arnold, G. M.   +2 more
openaire   +2 more sources

Better biplots

Computational Statistics & Data Analysis, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Blasius, Jörg, Eilers, Paul H. C., Gower, John   +2 more
openaire   +1 more source

Categorical CVA biplots

Computational Statistics & Data Analysis, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
D.T. Rodwell, C.J. van der Merwe, S. Gardner-Lubbe   +2 more
openaire   +1 more source

Biplots in biomedical research

Statistics in Medicine, 1990
AbstractThe biplot is a graphical display of multivariate data. A number of examples from biomedical research illustrate its use. Biplots allow for inspection of data preliminary to formal analysis, and can follow an analysis by the graphical inspection of residuals. The simplicity and intuitive appeal of these displays is stressed.
K R, Gabriel, C L, Odoroff
openaire   +2 more sources

Biplots: quantitative data

WIREs Computational Statistics, 2014
AbstractBiplots provide visualizations of two things, usually, but not necessarily, in two dimensions. This paper deals exclusively with biplots for quantitative data X; qualitative data or data in the form of counts will be addressed in a subsequent paper.
Gower, John C., Le Roux, Niël J., Gardner-Lubbe, Sugnet   +2 more
openaire   +1 more source

Biplots: qualititative data

WIREs Computational Statistics, 2016
A previous paper, Biplots: Quantitative data, dealt exclusively with biplots for quantitative data. This paper is mainly concerned with qualitative data or data in the form of counts. Qualitative data can be nominal or ordinal, and it is usually reported in a coded numerical form.
Gower, John C., Le Roux, Niël J., Gardner-Lubbe, Sugnet   +2 more
openaire   +2 more sources

A robust biplot

Canadian Journal of Statistics, 1992
AbstractThis paper introduces a robust biplot which is related to multivariateM‐estimates. Then × pdata matrix is first considered as a sample of sizenfrom somep‐variate population, and robustM‐estimates of the population location vector and scatter matrix are calculated.
Daigle, Gaétan, Rivest, Louis-Paul
openaire   +1 more source