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Showing 1 to 14 of 14 for “"Parallel Factor Analysis"”.
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Parallel factor analysis of gait waveform data: a multimode extension of principal component analysis
… in multivariate form, so some multivariate analysis is often used to understand interrelationships between observed data. Principal Component Analysis (PCA), a data reduction technique for correlated multivariate data, has been widely applied by gait analysts to investigate patterns of …
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Canonical Variate Analysis and Related Methods with Longitudinal Data
Canonical variate analysis (CVA) is a widely used method for analyzing group structure in multivariate data. It is mathematically equivalent to a one-way multivariate analysis of variance and often goes by the name of canonical discriminant analysis. Change over time is a central feature of many …
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Straight pipes and household wastewater discharges into the rural Alabama and impact on watershed water quality with wetland land-uses
… parameters. Excitation-emission matrixes (EEMs) Parallel Factor Analysis (PARAFAC) was used to identify and classify fluorescence emitting organic substances based on fluorescence peak location. Three fluorescence components, terrestrial humic-like, microbial humic-like, and protein-like …
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Advanced Topics in Introductory Statistics
… classical concepts such as canonical correlation analysis (CCA) and the Gaussian copula model. The proposed model allows for the analysis of multivariate dependence between variable sets with arbitrary marginal distributions. Motivated by fluorescence spectroscopy data collected from sites along …
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Dissolved organic material in groundwater and application of fluorescence spectroscopy coupled with EEM PARAFAC models as a means of site characterisation
… up to 3,500% during initial abstraction. Analysis of excitation emission matrices (EEMs) and absorption data demonstrated that the increased DOC and an increase in relative molecular weight of dissolved organic matter (DOM) was likely due to biofilm shearing. The fourth stage split a set …
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Spatio-temporal characterization of a complete algal bloom event using fluorescence spectroscopy in tandem with conventional physico-chemical methods
… early warning of bloom development through the analysis of fluorescence signatures of the water. Despite the potential of the technology, there has been no in-depth analysis studying the fluorescence and 3-D excitation emission matrixes (EEMs) in a waterbody experiencing an algal bloom with …
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Constrained Matrix and Tensor Factorization: Theory, Algorithms, and Applications
… studies constrained matrix and tensor factorization problems which appear in the context of estimating factor analysis models used in signal processing and machine learning. Factor analysis dates back to the celebrated principal component analysis (PCA), which provides the optimal low …
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Examining cranial cruciate ligament deficiency and its effect on canine gait using Parafac2
… are commonly analyzed by principal component analysis (PCA). Typical gait data, however, are measured in more than two modes (e.g., subjects × gait percents × joints). If PCA is used for such multi-mode gait data, the data need to be reorganized into a two-mode matrix, by either taking average …
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Marsh-Exported Dissolved Organic Matter Fate in Estuaries
… excitation-emission matrices analyzed using parallel-factor analysis, PARAFAC). 0.2 μm filters were used for “photochemical-only” treatments, whereas glass-fiber filters (GF/Fs) were used for microbial treatments. Initial results indicated the presence of bacterial cells in 0.2 μm filtrates; …
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Role of Dissolved Organic Nitrogen in the Soil Nitrogen Cycle of Forest Ecosystems
… excitation-emission spectroscopy and subsequent parallel factor analysis identified four groups of fluorophores in the extracts. The initial concentration of two of these so-called factors was correlated with DON biodegradation, but protein-like fluorescence (which has been suggested as a proxy …
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Redox cycling of colloidal macro- and micro-nutrients in a monomictic lake
… set of depth-resolved geochemical measurements. Analysis for reduced Fe (II) was used to control for oxidative loss during transportation and storage of samples, and generally demonstrated very good protocols and minimal sample alteration. This work comprises a comparison of components in …
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Fluorescence Based Approach to Drinking Water Treatment Plant Natural Organic Matter (NOM) Characterization, Treatment, and Management
… for the samples before and after coagulation. Parallel factor analysis (PARAFAC) was applied in order to generate independent models on different subsets of each drinking water treatment plant (DWTP) data set: (i) raw water, (ii) treated water, (iii) composite data set (i.e., raw and treated …
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Physical-chemical treatment of landfill leachate : technological performance, spectral characterization and cost estimations
… discharge standards. Spectral and chemometric analysis show that coagulation as a pre-treatment step removes high molecular weight humic compounds that would otherwise clog the GAC adsorption sites, and that GAC unselectively removes DOM components hereby improving the overall performance. Ion …
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Estrategias quimiométricas aplicadas a técnicas cromatográficas para el análisis de monómeros y aditivos
El eje central de la tesis de investigación consiste en la implementación de procedimientos analíticos, empleando como técnica de análisis la cromatografía líquida con distintos detectores (FLD y DAD), que presentan bajo impacto tanto medioambiental como económico. Los métodos desarrollados se han …