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Effects of measurement noise level, filter parameters (process noise covariance and forgetting factor), and modeling error are also presented and it is observed that the unbalance parameter estimation is robust with respect to measurement noise.
Estimation is robust difference-GMM.
This estimation is robust, as the calculation does not use any information concerning the utility function.
That is, the compensation parameter estimation is robust to the number of channels.
Here too, it may be observed that the normalized bit rate estimation is robust to packet loss.
In Poisson regression the estimation is robust to whether time independent covariates are included.
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Also the thresholds estimation was robust to different starting points.
We also showed that our parameter estimations are robust both to the shape of the prior distributions used and to the choice of the model of human dispersals out of Africa.
Even considering 1 GDP, most countries estimations were below this threshold indicating that cost effectiveness estimations were robust.
And in[7], an improved tandem algorithm is proposed for pitch estimation, which is robust to interference and produces good estimates of both target pitch and voiced target.
We also test whether each estimation procedure is robust to violation of the master gene model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com