Sentence examples for designs for estimation from inspiring English sources

Integer-valued, minimax robust designs for estimation and extrapolation in heteroscedastic, approximately linear models.

The authors of [17] presented training designs for estimation of spatially correlated MIMO AF two-way multi-relay channels, where an optimal training structure is initially derived to minimize total mean-square-error (MSE) of the channel estimation.

Together with the definition of the group designs that we introduce, this structure leads to a practical and numerically tractable representation of optimum designs for estimation of the mean values of the parameters.

An adaptive Bayesian Markov chain Monte Carlo scheme, exploiting the link between quantile regression and the skewed-Laplace distribution, is designed for estimation and inference of the quantile causal relations, simultaneously estimating and accounting for heteroscedasticity.

A mode observer is designed for estimation of the active mode, and the continuous spatial profiles are estimated by a Distributed and Decentralized Switching Kalman Filter.

Besides, experiments must often be designed for estimation of model parameters and reduction of variances of model predictions (or parameter estimates).

The standardization of these models includes the methods designed for estimation of audio quality as well, but our discussion is limited to video quality only.

An example of SM observer design for estimation of DC motor speed from the measurements of armature current is considered in the paper.

A continuous-discrete Distributed and Decentralized Switching Kalman Filter (DDSKF) is designed for estimation of spatial profiles in Pressure Swing Adsorption (PSA) processes.

A local approximator with a penalty function is designed for estimation of cost-to-go values over the continuous hyperstate space.

Since genetic change depends not only on genetic estimations but also on the observed phenotypic variation, estimation of non-genetic-environmental factors, must be considered when building statistical models designed for estimation of genetic parameters and genetic evaluation in goats.