The NLP procedure provides a variety of ways for estimating parameters in nonlinear statistical models and for obtaining approximate standard errors and covariance matrices for the estimators. These ...

Abstract: With the rapid development of big data technology, sensitive data leakage has brought great privacy risks, which has become one of the severe challenges faced by both academia and industry.

Abstract: Elastic least-squares reverse time migration (ELSRTM) effectively enhances imaging resolution and interprets multicomponent seismic data. However, traditional ELSRTM approaches, based on ...

The OUTEST= (or OUTVAR=) data set is of TYPE=EST and contains the final parameter estimates, the gradient, the Hessian, and boundary and linear constraints. For METHOD=ML, METHOD=GLS, and METHOD=WLS, ...