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While maximum likelihood (ML) based methods of estimation make efficient use of all the data and readily allow estimates of covariance matrices to be constrained to the parameter space [ 5], the problems of sampling variation remain.
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We also compare this VI with VI's that use the classical Fast Fourier Transform (FFT) based method of estimation.
Additionally, bootstrap based methods for the estimation of the breed's contribution to the core sets were introduced, substantially improving the accuracy of the contribution estimates.
We opt two model based methods for PDF estimation.
A universal NMR based method for the estimation of hydrogen content in all sort of petroleum products irrespective of their origin, composition, boiling range has been developed.
In this paper, an observer based method for the estimation of wind impact on vehicle dynamic is proposed.
Component power model based methods use State of Charge (SOC) estimation methods to forecast the energy consumption of an application [24, 30].
Due to the large number of lipid-compounds involved, predictive methods like group contribution based methods are particularly suitable for estimation of pure compound and mixture properties that may not be available.
Another study proposed the use of minimum mean square error (MMSE) and least minimum mean square error (LMMSE) based methods to improve the channel estimation of ACO-OFDM VLC systems [14, 15].
During the past decades much progress has been made in the development of computer based methods for parameter and predictive uncertainty estimation of hydrologic models.
The defect of least square based methods is that they create a delay in estimation process but Kalman filter based methods provide instantaneous estimation.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com