Results 21 to 30 of about 597,726 (265)
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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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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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 ...
Keishi Sando, Hideitsu Hino
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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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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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A Graphical Procedure for Determining Useful Principal Components [PDF]
The Egyptian Statistical Journal, 2012 One of the purposes of principal component analysis is to reduce the dimensionality of the set of variables. Several approaches have been suggested by different authors for determining the number of principal components that should be kept for further ...
Nehad A.Mokhlis +2 more
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Principal components analysis of employment in Eastern Europe [PDF]
Panoeconomicus, 2006 For the last decade, the employment structure is one of the fastest changing areas of Eastern Europe. This paper explores the best methodology to compare the employment situations in the countries of this region.
Savić Mirko
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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 components: A descent algorithm [PDF]
Journal of Computational Physics, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rebeca Salas-Boni, Esteban G. Tabak
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PRINCIPAL COMPONENTS TO OVERCOME MULTICOLLINEARITY PROBLEM [PDF]
Oradea Journal of Business and Economics, 2019 The impact of ignoring collinearity among predictors is well documented in a statistical literature. An attempt has been made in this study to document application of Principal components as remedial solution to this problem.
Abubakari S.Gwelo
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