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Again the predictive power of the estimation is low (R2 = 0.0365), but the model is statistically significant.
If the eNodeB performs the channel estimation of H MB(k) and H RB(k) separately, the SINR for the channel estimation is low.
This table reveals that the resulting pseudo-R2 from the propensity score estimation is low, suggesting a successful match.28 In general, Table 5 shows reassuring values for both income and employment in most of the subsamples analyzed.
Given sample size limitations for the newer agents, aripiprazole and ziprasidone, precision in hazard ratio estimation is low.
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In our synthesis, most sensitivity estimations were low [ 22- 27, 30, 32, 33].
However, because the number of samples used for CFO estimation and timing offset estimation is small, the normal method with low implementation complexity is low-power design.
By his own estimation, Matt Howard is low maintenance because he is not big on creature comforts.
Distances error is within the error estimation and is low enough for using it in traffic safety studies.
When the FD estimation error is low, it can be seen that the assumption of a white loop noise with variance expressed in (11) leads to accurate results.
As shown in Table 4, quasi-random sequences in integral evaluation perform better than pseudo-random sequences, and their estimation error is low.
It shows that the theory is corroborated and that the S-curve can be linearized when the estimation error is low (between −10 and 10percentt of the sampling time).
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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