Compute the \(Z\)-conditional moments (standard normal distributed moments) based on only those (\(n\) \(-\) \(r\)) observations above a threshold \(X_{si}\) for a sample size of \(n\) and \(r\) number of truncated observations. The first moment is gtmoms(xsi,1)
, which is in the first returned column. The second moment is
(gtmoms(xsi,2) - gtmoms(xsi,1)^2)/(n-r)
that is in the second returned column. Further mathematical details are available under gtmoms
.