Results 1 to 10 of about 25,409,385 (300)
Hierarchical multivariate covariance analysis of metabolic connectivity. [PDF]
J Cereb Blood Flow Metab, 2014 Conventional brain connectivity analysis is typically based on the assessment of interregional correlations. Given that correlation coefficients are derived from both covariance and variance, group differences in covariance may be obscured by differences
Carbonell F +5 more
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Spike-Triggered Covariance Analysis Reveals Phenomenological Diversity of Contrast Adaptation in the Retina. [PDF]
PLoS Comput Biol, 2015 When visual contrast changes, retinal ganglion cells adapt by adjusting their sensitivity as well as their temporal filtering characteristics. The latter has classically been described by contrast-induced gain changes that depend on temporal frequency ...
Liu JK, Gollisch T.
europepmc +2 more sources
A tool set to map allosteric networks through the NMR chemical shift covariance analysis. [PDF]
Sci Rep, 2014 Allostery is an essential regulatory mechanism of biological function. Allosteric sites are also pharmacologically relevant as they are often targeted with higher selectivity than orthosteric sites.
Boulton S +4 more
europepmc +2 more sources
Application of student's t-test, analysis of variance, and covariance
Annals of Cardiac Anaesthesia, 2019 Student's t test (t test), analysis of variance (ANOVA), and analysis of covariance (ANCOVA) are statistical methods used in the testing of hypothesis for comparison of means between the groups.
Prabhaker Mishra +4 more
doaj +2 more sources
Covariance Features for Trajectory Analysis
Elektronika ir Elektrotechnika, 2018 In this work, it is demonstrated that covariance estimator methods can be used for trajectory classification. It is shown that, features obtained via shrunk covariance estimation are suitable for describing trajectories. Compared to Dynamic Time Warping,
Talha Karadeniz, Hakan Hadi Maras
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Covariance Regression Analysis
Journal of the American Statistical Association, 2015 This article introduces covariance regression analysis for a p-dimensional response vector. The proposed method explores the regression relationship between the p-dimensional covariance matrix and auxiliary information. We study three types of estimators: maximum likelihood, ordinary least squares, and feasible generalized least squares estimators ...
Zou, Tao +3 more
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Psychiatry and Behavioral Sciences, 2017 Analysis of Covariance (ANCOVA) is a statistical method which is an extension of ANOVA that provides a way of statistically controlling the linear effect of variables one does not want to examine in a study.
Selim Kılıc
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Sensors, 2021 This study provides two mathematical tools to best estimate the gravity direction when using a pair of non-orthogonal inclinometers whose measurements are affected by zero-mean Gaussian errors. These tools consist of: (1) the analytical derivation of the
Daniele Mortari, Anthony Gardner
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Configuration Stability Analysis for Geocentric Space Gravitational-Wave Observatories
Aerospace, 2022 Long-term configuration stability is essential for a space-based gravitational-wave observatory, which can be affected by orbit insertion errors. This paper investigated the stability of a geocentric gravitational-wave observatory from the view of the ...
Xingyu Zhou, Feida Jia, Xiangyu Li
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LATOR covariance analysis [PDF]
Classical and Quantum Gravity, 2005 We present results from a covariance study for the proposed Laser Astrometric Test of Relativity (LATOR) mission. This mission would send two laser-transmitter spacecraft behind the Sun and measure the relative gravitational light bending of their signals using a hundred-meter-baseline optical interferometer to be constructed on the International Space
Plowman, Joseph E., Hellings, Ronald W.
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