Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 12 of 12 for “"Biplots"”.
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Biplots based on principal surfaces
… the nonlinear surface of the previous iteration. Biplots are considered as extensions of the ordinary scatterplot by providing for more than three variables. When the difference between data points are measured using a Euclidean embeddable dissimilarity function, observations and the associated …
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Unravelling black box machine learning methods using biplots
… is to expand on the theory and use of biplots to visualise the impact of the various input factors on the output of the machine learning black box. Biplots are used because they give an optimal two-dimensional representation of the data set on which the machine learning model is …
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Marker-Qtl Associations: Comparisons of Genetic Background Effects in Maize
… used for three traits. K-Means clustering and biplots, a form of perceptual mapping, were used. K-Means clustering is a useful tool for identifying favorable and unfavorable profiles of alleles across traits. Biplots were difficult to interpret because of the large number of data points.
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Statistical analysis of crystallographic data
… and were compared with the original output. Biplots were used to visualise the variables describing the fragments. Biplots are multivariate analogues to scatter plots and are used to visualise how the fragments are related to the variables describing them. Owing to the large number of …
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Biplot graphical display techniques
… value decomposition. These techniques, known as biplots, are used to find low dimensional representations of multidimensional data matrices. The aim of the thesis is to provide a review of biplots for a practical statistician who is not familiar with the area. It therefore focuses on the …
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The construction of a partial least squares biplot
… and columns (variables). For this reason, biplots, the joint graphical display of the rows and columns of a data matrix, can be useful tools for analysis. Since they were first introduced, biplots have been employed in a number of multivariate methods, such as Correspondence Analysis (CA), …
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Estimating Trophic Position of Lake Oahe Walleye Using Stable Isotope Analysis
… spatial differences in isotope estimates. Using biplots of trophic versus ᵟ13C, I show how seasonal and spatial variation in energy flow can be used for monitoring changes in prey use
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Application of genetic and statistical tools for improvement of Louisiana rice
… lines of the SB2 mapping population using GGE biplots (2) Exploit whole genome sequences of 13 inbred lines to identify non-synonymous SNPs (nsSNPs) and candidate genes for SB resistance. Genotype-by-environment interaction for SB analysis was performed using heritability-adjusted GGE (HA-GGE) …
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Interpreting Southern California Arc Geochemistry by Multivariate and Spatial Methods
… principal components that are visualized using biplots. The first three principal components appear to be related to extent of differentiation, magma source depth, and possibly solubility, respectively. The first principal component (PC1) accounting for 56.7% of the explained variance, arranges …
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Dynamics of faecal bacterial populations in early infancy as determined by massively parallel sequencing
… faecal specimens from participants. Log ratio biplots and generalized linear mixed models served to statistically determine differences between faecal bacterial profiles. Results: Faecal specimens were collected from 90 mothers and 107 infants at birth, 72 infants at 4-12 and 36 infants at 20 …
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Microencapsulation of tributyrin to improve sensory qualities and intestinal delivery
… attribute principal correlation analysis (PCA) biplots show samples containing free TB were highly characterized by bitter taste and aftertaste. Cracker samples were not significantly different (p>0.05) for all measured attributes intensities as compared to free TB-containing samples, and were …