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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 ...

This is a preview. Log in through your library . Abstract The errors-in-variables model in which the unobserved true values satisfy multiple linear restrictions is considered. Under the assumptions ...

The second-order expansion of the mean squared error matrix of the generalized least squares estimators for the regression parameters is obtained when the samples and ...