The estimated covariance matrix of the parameter estimates is computed as the inverse Hessian matrix, and for unconstrained problems it should be positive definite. If the final parameter estimates ...

Researchers in China have achieved a major leap in quantum photonics by generating a massive 60-mode entangled cluster state ...

The authors introduce a new algorithm for determining the minimal anisotropic Gaussian noise required to satisfy mutual ...

and their variance-covariance estimates in C1097. Since the variance-covariance matrix is symmetric, C1097 contains only the elements in the lower triangle of the matrix. The fixed parameters and ...

where nused is the number of non-missing observations and np is the number of estimable parameters. The standard error reported for the parameters is the sqrt of the ...