Summary statistics for full-scale IQ (n=257,828) were obtained from the Social Science Genetic Association Consortium. Genetic correlations between the multivariate GenLang results (blue-green), ...

Real life biomedical data is usually noisy, which makes it difficult to analyze. Recent adoption of visual analytics to the analysis of such data is allowing easier recognition of multivariate ...

The genetic covariation among different traits may cause the appearance of correlated response to selection on multivariate phenotypes. Genes responsible for the expression of melanin-based color ...

A new one-sided test for serial correlation in multivariate time series models is proposed. The test is based on a comparison between a multivariate spectral density estimator and the spectral density ...

Multivariate analysis is commonly used when we have more than one outcome variables for each observation. For instance, a survey of American adults’ physical and mental health might measure each ...

This is a preview. Log in through your library . Abstract In a special case of Polya's urn scheme, the probability that the first n draws are all of the same color is interpreted as a function of the ...

The past ten years have witnessed the development of handheld and portable tools, which has introduced new valuable analytical capabilities to quality assurance, quality control and manufacturing ...

This video takes us from the univariate ACE model to a multivariate ACE model: from ACE to MACE. We begin with a review of the univariate ACE model, and then extend this to two phenotypes as a ...

In semiconductor manufacturing, especially in electrical test data, but also in other parameters, there are often sets of parameters that are very highly correlated. Even a change in the correlation ...