This is the GEE equivalent of the inverse of the Fisher information matrix that is often used in ... of .It is a consistent estimator of the covariance matrix of if the mean model and the working ...

There are many situations where conducting principal component analysis based on covariance matrices would not be appropriate ... In these cases, we standardize multivariate variables and use ...

This year is the centennial anniversary of German psychiatrist Hans Berger's invention of electroencephalography (EEG), a way ...

The correlation coefficient between the two ... its volatility is calculated using a matrix. A variance-covariance matrix is computed for all the assets. The vector of the weights of the assets ...