Functional Principal Component Analysis
Analysis of multiple waveforms by means of functional principal component analysis: normal versus pathological patterns in sit to stand movement
... of Functional Principal Component Analysis (FPCA) to describe inter-subject variability of multiple ...the functional one, which allows working with continuous functions without neither ...
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Forescat modeling of spatio-temporal raster data using principal component analysis and a neural networks - wavelet decomposition model
... series analysis is to extract information of a given data series, consisting of observations over ...known functional form, and the more general nonparametric ...
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Robust Principal Component Analysis Based On Trimming Around Affine Subspaces
... a functional or population version of some related trimming procedures in the multivariate setting and coined the term “impartial trimming” which means that it is the data set itself which tell us the best way of ...
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Authentication of retail cheeses based on fatty acid composition and multivariate data analysis
... multivariate analysis was carried out to differentiate the FA pro fi le of retail Chanco, Gouda and Mantecoso ...factorial analysis by PCA and a cluster ...factorial analysis. Hierarchical clustering ...
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Requirements and analysis: where is the boundary if any?
... System Analysis approaches we found several objections as the absence of Non Functional Requirements (analysis was identified to “functional analysis”) and the absence of activities ...
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Full PDF
... the principal component analysis suggest that first component has an endogenous meaning (stomata length and width have higher weights than the two other variables) whereas the sec- ond ...
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Principal component analysis applied to continuation power flow
... The simulation considers a single bus – load equivalent and controlled variation of the equivalent system impedance behind the load. Variations of data structure are proposed and analyzed in order to interpret results ...
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Aplicació de l’espectroscòpia d’infraroig a l’anàlisi de control a les indústries adobera i paperera
... by Principal Component Analysis (PCA) and Canonical Variate Analysis (CVA) allowed the identification of the finishing treatment used on the studied leather ...
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Hyperspectral images and polymerase chain reaction (PCR) for the detection of allergen (peanuts traces) in powder foods.
... All four pca procedures show that the first component retains the variability between agar and yeast. Aiming to discuss which procedure is the most discriminant, four ANOVAS were applied on the scores. The highest ...
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Propiedades psicométricas de la Escala de Actitudes sobre el Amor LAS en universitarios peruanos
... factorial analysis (EFA) was applied, using the principal axis extrac- tion method with Promax ...parallel analysis was used, which is a simulation method that compares empirical eigenvalues —versus ...
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Classification of Food Spices by Proximate Content: Principal Component, Cluster, Meta-Analyses
... (3) Cluster analysis (CA) encompasses different classification algorithms [20,21]. Starting point is nxp data matrix X con- taining p components measured in n samples. One assumes data were pre-processed to ...
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ANÁLISIS MORFOLÓGICO Y DE HÁBITAT EN EL HÍBRIDO Quercus glabrescens x Q. rugosa
... Quercus species are prone to form hybrids very frequently in different parts of the world. The Quercus glabrescens x Q. rugosa hybrid was studied in terms of habitat (geographic distribution and species association) and ...
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Latest developments in data analysis tools for disruption prediction and for the exploration of multimachine operational spaces.
... data analysis tools to both predict the occurrence of disruptions and to investigate the operational spaces of devices, with the long term goal of advancing the understanding of the physics of these events and to ...
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The professional skills profile of a public affairs practitioner in Spain
... important component is the relational component, in which diplomatic and relationship skills, along with team management skills, are considered extremely ...“international” component, since they give ...
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Exploration of liquid chromatographic diode array data for Argentinean wines by extended multivariate curve resolution
... Liquid chromatography; Multivariate curve resolution; Principal component analysis; Direct injection; Wine data exploration.... Wine is a complex matrix composed of water, ethanol and a [r] ...
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Fault Detection and Diagnosis in a Heat Exchanger Using Dynamic Principal Component Analysis and Diagnostic Observers-Edición Única
... 5.9 Diagnostic result for emulated faults in the actuators (cases [1 2]) 50 5.10 Diagnostic result for emulated faults in the actuators (cases [3 4]) 51 5.11 Fault detection result[r] ...
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RADIC scalability analysis: functional Mmodel
... a functional model to validate the performance of a parallel application running in a parallel computer with RADIC fault tolerant ...the functional model of RADIC taking into account the operations that ...
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Dispositional employability and online training purchase Evidence from employees' behavior in Spain
... using principal component analysis and binomial logit probabilistic models, the research revealed two main ...relationship analysis between dispositional employability and online training ...
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A biometrical study of stomata in Blechnum species (Blechnaceae), with some ecological and taxonomical implications for the ferns
... the principal component analysis suggest that first component has an endogenous meaning (stomata length and width have higher weights than the two other variables) whereas the sec- ond ...
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Estimation of the underlying structure of systematic risk with the use of principal component analysis and factor analysis
... exchange and Elton et al. (1988) found four factors in the Japanese market. Never- theless, Reinganum (1981) rejected statistical APT as a means of explaining stock price variations for the NYSE and AMEX, as did ...
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