Your English writing platform
Discover LudwigSuggestions(5)
Exact(7)
This article also verifies that the proposed estimation method becomes a minimum variance estimator (MVE) in the expanded phase domain.
(ii) The MLE of (i.e., the value of that maximizes the probability ) is a minimum variance estimator. .
Mathematically, the wave telescope method or the minimum variance estimator is regarded as the maximum likelihood method assuming a Gaussian shape for the likelihood function.
In case the random permutation assumption is dropped, it is proved that there does not exist any uniformly minimum variance estimator in the entire class of design model unbiased estimators.
The wave telescope method is an application of the minimum variance estimator [also called the least square estimator or the Capon estimator (Capon 1969)] to the four-spacecraft measurements in space.
Nevertheless, the resulting EKF is a practical approximation to the minimum variance estimator when the state equation is nonlinear, and will be shown to provide a good performance in time-varying channel estimation.
Similar(51)
The new Bayesian estimators are compared to Whitehead's and the uniformly minimum variance estimators through several multistage designs.
Although more flexible and scalable, peer-to-peer minimum variance estimators are difficult to design because of message losses and lack of network coordination.
Essentially, tensor imaging can be cast like any other MIMO estimation problem, formulated as either a Bayesian or classical estimation minimum variance unbiased estimator (MVUE) problem.
For point estimation, the uniformly minimum variance unbiased estimator (UMVUE) and the bias corrected estimator had better performance than the others when the actual sample size was as planned.
Therefore, the ML estimator derived for ζ ik is the minimum variance unbiased estimator (MVUE), i.e., it is an unbiased estimator that has lower variance than any other unbiased estimator for all possible values of the parameter [26].
More suggestions(15)
minimum variance linkage
minimum variance control
minimum distance estimator
minimum variance linear
minimum variance distance
minimum variance method
minimum variance beamformer
minimum variance framework
minimum cost estimator
minimum variance principle
minimum contrast estimator
minimum variance spectrum
minimum variance coefficient
minimum variance resampling
minimum attainable estimator
Write better and faster with AI suggestions while staying true to your unique style.
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