Results 11 to 20 of about 26,778,061 (298)
Implementing Horn's Parallel Analysis for Principal Component Analysis and Factor Analysis [PDF]
I present paran, an implementation of Horn's parallel analysis criteria for factor or component retention in common factor analysis or principal component analysis in Stata. The command permits classical parallel analysis and more recent extensions to it for the pca and factor commands.
Dinno, Alexis, Dinno, Alexis
core +4 more sources
Parallel implementation of stochastic simulation for large-scale cellular processes [PDF]
Experimental and theoretical studies have shown the importance of stochastic processes in genetic regulatory networks and cellular processes. Cellular networks and genetic circuits often involve small numbers of key proteins such as transcriptional ...
Kevin Burrage +6 more
core +9 more sources
Characteristics of chromophoric dissolved organic matter in the Northern Andaman Sea
The dissolved organic matter (DOM) in the ocean is a large carbon pool that plays an important role in the global carbon cycle. Investigation of the characteristics and behaviors of DOM in some areas facilitates a better understanding of biochemical ...
Ruoshi Zhao +11 more
doaj +1 more source
Parallel Factorizations in Numerical Analysis
15 pages, 5 ...
Pierluigi Amodio, BRUGNANO, LUIGI
openaire +4 more sources
Three-dimensional excitation–emission matrix fluorescence spectroscopy coupled with parallel factor analysis was adopted to investigate the characteristics of dissolved organic matter (DOM) components in water samples collected from the Tuojiang River ...
Xiaxia Li +6 more
doaj +1 more source
The development of a real-time monitoring tool for the estimation of water quality is essential for efficient management of river pollution in urban areas. The Gap River in Korea is a typical urban river, which is affected by the effluent of a wastewater
Jin Hur, Jinwoo Cho
doaj +1 more source
Methodological aspects of analyzing high resolved brain connectivity for multiple subjects
Analyzing directed interactions within brain networks of high spatial resolution is always associated with a limited interpretability due to the high amount of possible connections.
Pester Britta +3 more
doaj +1 more source
How many factors in factor analysis? New insights about parallel analysis with confidence intervals
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 +4 more
openaire +1 more source
Space exploration using parallel orbits:A study in parallel symbolic computing [PDF]
Orbit enumerations represent an important class of mathematical algorithms which is widely used in computational discrete mathematics. In this paper, we present a new shared-memory implementation of a generic Orbit skeleton in the GAP computer algebra ...
Brown, Christopher Mark +11 more
core +1 more source
Spectral analysis of parallel incomplete factorizations with implicit pseudo‐overlap [PDF]
AbstractTwo general parallel incomplete factorization strategies are investigated. The techniques may be interpreted as generalized domain decomposition methods. In contrast to classical domain decomposition methods, adjacent subdomains exchange data during the construction of the incomplete factorization matrix, as well as during each local forward ...
Magolu, Monga Made +1 more
openaire +5 more sources

