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It is shown that the proposed adaptive sliding mode control scheme offers several advantages such as the consistent estimation of parameters including large robustness to parameter variations and external disturbances.
However, to the extent that bootstrapped standard errors enable consistent estimation of parameters given misspecification (Goncalves and White 2005)—in this the omission of sampling weights bootstrap estimates of the treatment effects without the sampling weights can mitigate/eliminate the bias caused by the sample that may not be fully representative of the population of interest.
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Econometricians have also been deeply concerned with the possibilities of determining causal relations from statistical evidence and with the relevance of causal relations to the possibility of consistent estimation of parameter values.
Therefore, consistent estimation of the parameters of interest requires the use of models that take into account underreporting.
If (X, S ) are MCAR, JAV will give consistent estimation of the parameters of the analysis model.
In this section, we summarise the argument of Von Hippel (2009) for why the JAV approach will give consistent estimation of the parameters of the analysis model when the data are MAR, and then explain why JAV actually requires the stronger condition of MCAR for consistency.
As is usual in statistics, we consider situations where it is possible to have a consistent estimation of the unknown parameters and processes.
Under homoscedasticity the ordinary least squares parameter estimates are asymptotically normal and the ordinary least squares covariance estimation is a consistent estimation of the true covariance of the parameter estimates.
However, if the parameters of the MLP are in a compact set, we prove that the minimization of a suitable information criteria leads to consistent estimation of the true number of hidden units.
Convergence showed that self-consistent estimation of mislocated fixations was successful.
Estimation of parameters.
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