Results 211 to 220 of about 17,109 (260)

Predictive modeling of sugar beet bolting via vernalization-intensity model and resilience assessment in diverse autumn cultivation environments. [PDF]

PLoS One
Sadeghzadeh Hemayati S, Saremirad A, Nooshkam A, Yar-Ahmadi S, Abdipur M.   +4 more
europepmc   +1 more source

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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.
Louis-Paul Rivest
exaly   +2 more sources

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

Contribution Biplots [PDF]

Journal of Computational and Graphical Statistics, 2012
In order to interpret the biplot it is necessary to know which points – usually variables – are the ones that are important contributors to the solution, and this information is available separately as part of the biplot’s numerical results. We propose a new scaling of the display, called the contribution biplot, which incorporates this diagnostic ...
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Categorical CVA biplots

Computational Statistics & Data Analysis, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
David Timothy Rodwell, Carel Johannes van der Merwe, Sugnet Gardner-Lubbe   +2 more
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Better biplots

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

2021
Visualization techniques represent one of the main pillars in the field of exploratory data analysis. A graphical description of data is often a more preferred option than a numerical one as it is more intuitive and immediate. Boxplots, histograms, and pie charts are familiar forms of data visualization which require only a rudimentary statistical ...
Shizuhiko Nishisato, Eric J. Beh, Rosaria Lombardo, Jose G. Clavel   +3 more
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Biplots of fuzzy coded data [PDF]

Fuzzy Sets and Systems, 2011
A biplot, which is the multivariate generalization of the two-variable scatterplot, can be used to visualize the results of many multivariate techniques, especially those that are based on the singular value decomposition. We consider data sets consisting of continuous-scale measurements, their fuzzy coding and the biplots that visualize them, using a ...
Zerrin Asan, Michael Greenacre
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