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The method we have proposed in [5] considers the estimation of the pdf using kernel estimator [6] which uses an efficient technique for selecting the smoothing parameter.
Conversely, for STS, which considers the estimation in each individual cell as an independent problem, there were 200 estimated values for this new noise parameter.
This paper considers the estimation of statistics of displacement of a vibrating rectangular plate with random wave scatterers.
This paper considers the estimation and detection problems for statistically dependent heavy-tailed signals with no closed-form probability density function (PDF).
This paper considers the estimation of link travel time functions from data collected by experiments in a driving simulator and proposes a comparison with the link travel time functions estimated using loop detector data.
The Kalman filter considers the estimation of the expected value of the x t vector, conditional to the information available until period t.
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We describe how the BRMA normal model is estimated, and analytically consider the estimation of between-study correlation.
We consider the estimation of average treatment effects as well as personalized policies.
This paper considered the estimation of the regression parameters of a general probit regression model.
Considering the estimation accuracy and computational cost, averaging two Jacobian approximations is recommended in this paper.
In this work, we consider the estimation of temperature profiles along the pipes of a plate heat exchanger.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com