covariance structure
Metabolic status and lifestyle factors associated with gallbladder polyps: a covariance structure analysis
... the Covariance Structure Analysis, elder and higher intake frequencies of meat are associated with the higher BMI; higher BMI linked to increased TG level; then the TG level is positively associated with ...
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Inhibitory geostatistical designs for spatial prediction taking account of uncertain covariance structure
... Summary: The problem of choosing a spatial sampling design for investigating unobserved spatial phenomenon S arises in many contexts, for example in identifying households to select for a prevalence survey in order to ...
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Inhibitory geostatistical designs for spatial prediction taking account of uncertain covariance structure
... Summary: The problem of choosing spatial sampling designs for investigating an unobserved spatial phenomenon S arises in many contexts, for example in identifying households to select for a prevalence survey to study ...
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Use of the score test as a goodness-of-fit measure of the covariance structure in genetic analysis of longitudinal data
... Abstract – Model selection is an essential issue in longitudinal data analysis since many different models have been proposed to fit the covariance structure. The likelihood criterion is commonly used and ...
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Linear models with a generalized AR(1) covariance structure for longitudinal and spatial data
... GAR structure (defined in equation ...GAR covariance structure is able to model a correlation function in which the correlation remains high regardless of how far apart in time the images are ...
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Covariance Structure Behind Breaking of Ensemble Equivalence in Random Graphs
... the covariance structure of the canonical ensemble, recently put forward by Squartini and Garlaschelli ...the covariance matrix of the constraints in the dense regime, while it requires an extra ...
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On the covariance structure and mobility of Italian wages
... error covariance matrix, we can observe a general rise in size and precision for each correlation coefficient, in particular for p(di9 3 ,dig 5 ), which is now significantly different from zero at conventional ...
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Bias and heteroscedastic memory error in self-reported health behavior: an investigation using covariance structure analysis
... The chi-square statistic for CSA models is defined as the optimum value of the above discrepancy function F mul- tiplied by sample size minus one. [19] It compares the model-based (estimated) covariances with those ...
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ANALYSIS OF THE COVARIANCE STRUCTURE OF DIGITAL RIDGE COUNTS IN THE OFFSPRING OF MONOZYGOTIC TWINS
... Prior to the initiation of the model-fitting procedure, the sex-adjusted ridge counts for the offspring of male and female twins were partitioned by a multivariate nested [r] ...
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Distances and inference for covariance operators
... the covariance structure among frequencies for each language i using the estimator ...estimated covariance operator for each language are given in ...estimated covariance operators, using the ...
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Longitudinal and spatial analyses applied to corn yield data from a long-term rotation trial
... error covariance structure, namely PS, the split plot model with constant error variance and constant covariance over years; AR, a first order autoregressive structure; PSH and ARH, ...
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Genetic parameters for a joint genetic evaluation of production and reproduction traits in pigs
... The covariance structure was estimated by REML for a joint genetic evaluation of production and reproduction traits for Czech Landrace (58 258 records) and Czech Large White (167 161 records) pigs using ...
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Structural and statistical properties of the collocation technique for error characterization
... the covariance structure can be resolved by the col- location technique, thus emphasizing the necessity of expert knowledge for the correct validation of geophysical ...
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<p>Complex effects of childhood abuse, affective temperament, and subjective social status on depressive symptoms of adult volunteers from the community</p>
... of covariance structure analysis of the structural equation model with the childhood abuse subscale on child abuse and trauma (childhood abuse), subjective social status score (SSS), and the score of the ...
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A Well-Conditioned and Sparse Estimation of Covariance and Inverse Covariance Matrices Using a Joint Penalty
... of covariance and inverse covariance matrices play an important role as the classifier is often a function of these ...the covariance matrix may be used to provide standard errors for the estimated ...
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Serial and parallel implementations of model based clustering via parsimonious Gaussian mixture models
... Model-based clustering using a family of Gaussian mixture models, with parsimo- nious factor analysis-like covariance structure, is described and an efficient algorithm for its implementation is presented. ...
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Conditions for noise reduction and stable encoding of spatial structure by cortical neural networks
... Then we apply linear stability analysis to arrive at a condition on the connection matrix that ensures local stability of the mean pattern and a bounded stationary covariance structure..[r] ...
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Structure of forecast error covariance in coupled atmosphere–chemistry data assimilation
... error covariance structure. Given the realistic structure of ensemble forecast error co- variance produced by the WRF-Chem, we anticipate that the ensemble-based coupled atmosphere–chemistry data ...
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Topics in unsupervised learning
... Clustering based on m ixture models has appeared in the literature with increased frequency in recent years. The approach followed herein involves a family of Gaussian m ixture models w ith parsimonious covariance ...
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Insistence on sameness relates to increased covariance of gray matter structure in autism spectrum disorder
... where N is the length of the data series, X and Y are the mean of X and Y, and s is the sample standard deviation. In the continuous analysis for a pair of regions, we used the product of the z-scores that would be ...
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