Results 21 to 30 of about 2,294,043 (337)
A new statistical method for the comparison of biplots with the same objects and variables
Ecological Indicators, 2023 Ordinations are compared most commonly by Procrustes methods applicable to points belonging to the same domain, either the objects or the variables describing them.
Attila István Engloner, János Podani
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Modal Principal Component Analysis [PDF]
Neural Computation, 2020 Principal component analysis (PCA) is a widely used method for data processing, such as for dimension reduction and visualization. Standard PCA is known to be sensitive to outliers, and various robust PCA methods have been proposed. It has been shown that the robustness of many statistical methods can be improved using mode estimation instead of mean ...
Sando, Keishi, Hino, Hideitsu
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The classification of concentration of mixture of analytes
Lietuvos Matematikos Rinkinys, 2004 This paper presents a system which is used for the classification of biosensor signals. The proposed system is applied to the the synthesized and experimental data. The developed system showed good prediction perfomance.
Romas Baronas +3 more
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Interpretability of Composite Indicators Based on Principal Components
Journal of Probability and Statistics, 2022 Principal component approaches are often used in the construction of composite indicators to summarize the information of input variables. The gain of dimension reduction comes at the cost of difficulties in interpretation, inaccurate targeting, and ...
Kris Boudt +3 more
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Genetic associations between visual scores, body weight and age at first calving in nellore breed cattle [PDF]
Arquivo Brasileiro de Medicina Veterinária e Zootecnia, 2020 Body weight records of 231,416 Nellore females obtained from the Brazilian Association of Zebu Breeders were used to determine a linear combination between visual appraisal scores (body structure, precocity and muscling) using principal components ...
F.B. Freitas +5 more
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Principal Fitted Components for Dimension Reduction in Regression [PDF]
, 2008 We provide a remedy for two concerns that have dogged the use of principal components in regression: (i) principal components are computed from the predictors alone and do not make apparent use of the response, and (ii) principal components are not ...
Cook, R. Dennis, Forzani, Liliana
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COPD phenotype description using principal components analysis
Respiratory Research, 2009 Background Airway inflammation in COPD can be measured using biomarkers such as induced sputum and FeNO. This study set out to explore the heterogeneity of COPD using biomarkers of airway and systemic inflammation and pulmonary function by principal ...
Vestbo Jørgen +5 more
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Properties of Design-Based Functional Principal Components Analysis [PDF]
, 2009 This work aims at performing Functional Principal Components Analysis (FPCA) with Horvitz-Thompson estimators when the observations are curves collected with survey sampling techniques.
Benko +37 more
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Generating Facial Composites from Principal Components
MATEC Web of Conferences, 2016 Penetrating computers and process automation into all the fields of human activity meant a breakthrough in the research of forensic methods applied on facial composite production.
Zahradnikova Barbora +2 more
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Principal volatil components of Txakoli of Bizkaia
OENO One, 1995 The aim of this work was to characterize the Txakoli of Bizkaia, a wine produced in the Basque Country. This note gives account of the volatile content of the wine which has been awarded by the Denominacíon de Origen Bizkaiko Txakolina quality label ...
Ana Escobal +2 more
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