Results 21 to 30 of about 993,426 (339)
A cautionary note on robust covariance plug-in methods [PDF]
, 2014 Many multivariate statistical methods rely heavily on the sample covariance matrix. It is well known though that the sample covariance matrix is highly non-robust.
Nordhausen, Klaus, Tyler, David E.
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Efficient Estimation of Approximate Factor Models via Regularized Maximum Likelihood [PDF]
, 2012 We study the estimation of a high dimensional approximate factor model in the presence of both cross sectional dependence and heteroskedasticity. The classical method of principal components analysis (PCA) does not efficiently estimate the factor ...
Bai, Jushan, Liao, Yuan
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Estimating Mean and Covariance Structure with Reweighted Least Squares [PDF]
, 2020 Does Reweighted Least Squares (RLS) perform better in small samples than maximum likelihood (ML) for mean and covariance structure? ML statistics in covariance structure analysis are based on the asymptotic normality assumption; however, actual ...
Zheng, Bang Quan
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Promoting education management new models application in teaching science [PDF]
فصلنامه نوآوریهای آموزشی, 2016 The purpose of this study was to survey the effect of teaching science using Education Management Model on 3th grade guidance school Baharestān city students academic achievement in knowledge, skill and attitude areas.
Mohammadrezā Behrangi +2 more
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Gadjah Mada Journal of Psychology, 2019 This study aimed to empirically determine the role of teacher-student interaction and students’ learning styles in students’ disposition toward critical thinking in physics subject.
Primadhani Setyaning Galih, Asmadi Alsa
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The Ancova model for comparing two groups: a tutorial emphasizing statistical distribution theory
Frontiers in PsychologyThe analysis of covariance (Ancova) is a widely used statistical technique for the comparison of groups with respect to a quantitative dependent variable in such a way that the comparison takes into account concomitant differences in a quantitative ...
Wolf Schwarz
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British Journal of Management, 2020 Covariance‐based structural equation modelling (CB‐SEM) with reflective measurement has been a popular data analysis tool in organizational and management research.
Mary F. Zhang, J. Dawson, R. Kline
semanticscholar +1 more source
Structural Covariance Network Disruption and Functional Compensation in Parkinson’s Disease
Frontiers in Aging Neuroscience, 2020 Purpose: To investigate the structural covariance network disruption in Parkinson’s disease (PD), and explore the functional alterations of disrupted structural covariance network.Methods: A cohort of 100 PD patients and 70 healthy participants underwent
Cheng Zhou +13 more
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IEEE Access, 2021 Covariance analysis describing function technique is a conventional method to solve the performance analysis of the nonlinear missile guidance system. Aiming at the faultiness of covariance analysis describing function technique and its improved method ...
Quancheng Li +4 more
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Convex Banding of the Covariance Matrix [PDF]
, 2014 We introduce a new sparse estimator of the covariance matrix for high-dimensional models in which the variables have a known ordering. Our estimator, which is the solution to a convex optimization problem, is equivalently expressed as an estimator which ...
Bien, Jacob +2 more
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