Results 211 to 220 of about 846,956 (260)

Comparative Study of Complex Parallel Factor Analysis and Parallel Factor Analysis

2019 Prognostics and System Health Management Conference (PHM-Qingdao), 2019
The running time and the convergence between traditional parallel factor trilinear alternating least squares algorithm (TALS) algorithm and complex parallel factor (COMFAC) algorithm is compared by the experiment. The experiment result shows that both methods can obtain good separation performance.
Huilu ZENG, Zhinong LI, Zewen ZHOU
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PARAFAC: Parallel factor analysis

Computational Statistics & Data Analysis, 1994
We review the method of Parallel Factor Analysis, which simultaneously fits multiple two-way arrays or ‘slices’ of a three-way array in terms of a common set of factors with differing relative weights in each ‘slice’. Mathematically, it is a straightforward generalization of the bilinear model of factor (or component) analysis (xij = ΣRr = 1airbjr) to ...
Harshman, R. A., Lundy, M. E.
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Parallel factor analysis of spider fluorophores

Journal of Photochemistry and Photobiology B: Biology, 2008
Fluorophores from the hemolymph of yellow sac spiders (Cheiracanthium mildei) have been characterized using excitation emission matrix (EEM) fluorescence spectroscopy. This approach provides characterization of fluorophores present in the organism without having to isolate pure samples.
Scott M, Reed, My-Trinh, Do, Susan E, Masta   +2 more
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The Parallel Factor Analysis of Beer Fluorescence

Journal of Fluorescence, 2019
Fluorescence excitation-emission matrices were measured for 111 samples of different types of beer and studied by the parallel factor analysis (PARAFAC). The 5-component PARAFAC model was found to suitably describes the beer fluorescence, accounting for 99.4% of the fluorescence variance in the measured set of samples, and providing the completely ...
Tatjana Dramićanin, Ivana Zeković, Jovana Periša, Miroslav D. Dramićanin   +3 more
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Factor Retention Decisions in Exploratory Factor Analysis: a Tutorial on Parallel Analysis

Organizational Research Methods, 2004
The decision of how many factors to retain is a critical component of exploratory factor analysis. Evidence is presented that parallel analysis is one of the most accurate factor retention methods while also being one of the most underutilized in management and organizational research. Therefore, a step-by-step guide to performing parallel analysis is
Hayton JC, Allen DG, Scarpello VG
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Maximum likelihood parallel factor analysis (MLPARAFAC)

Journal of Chemometrics, 2003
AbstractAlgorithms for carrying out maximum likelihood parallel factor analysis (MLPARAFAC) for three‐way data are described. These algorithms are based on the principle of alternating least squares, but differ from conventional PARAFAC algorithms in that they incorporate measurement error information into the trilinear decomposition.
Lorenzo Vega‐Montoto, Peter D. Wentzell   +1 more
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Parallelism as a Factor in Metrical Analysis

Music Perception, 2002
A model is proposed of the effect of parallelism on meter. It is wellknown that repeated patterns of pitch and rhythm can affect the perception of metrical structure. However, few attempts have been made either to define parallelism precisely or to characterize its effect on metrical analysis.
David Temperley, Christopher Bartlette
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How many factors in factor analysis? New insights about parallel analysis with confidence intervals

Journal of Business Research, 2022
Abstract Factor analysis is an extremely popular model for scale development prior to other modeling in much research in business and the social sciences. A central question in factor analysis remains the determination of the number of factors to extract and retain to explain as much of the data as possible, and do so parsimoniously.
Dawn Iacobucci, Ayalla Ruvio, Sergio Román, Sangkil Moon, Paul M. Herr   +4 more
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