Sentence examples for introduced in the estimates from inspiring English sources

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Therefore, we will study through simulations the extent (and severity) of the distortion introduced in the estimates of ({ mathcal {R}(k) }_{k}) obtained, at each node, upon convergence to quantized consensus from localized exchanges of quantized versions of {y n (k)} k, ∀n∈{1,…,N}.

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Since our relative variables are created by orthogonalizing the regional variables with respect to the national average, there is no reason for fixed effects to be introduced in the estimated equations.

Also, it would be interesting to have information on the time since diagnosis of DM, vascular risks or vascular diseases to avoid the confounding effects that cardiovascular risk may introduce in the estimates.

However, in the scenario, which is very common in practice, where the SR function in use is not additive for the model, an additional systematic bias is introduced in the distance estimates.

If we assume that the 60% figure applies to all the years we analysed, a considerable amount of noise would have been introduced in the spatial estimates, implying that we would be unable to detect weak relationships between them and the outcome.

The impact of age on CLCR is well known and this parameter was, therefore, introduced in the formulas estimating CLCR (Cockcroft-Gault, Robert and simplified MDRD) [ 13- 15].

Secondly, when inaccuracies are introduced in the UWB range estimates, namely, when εr is up to 5%.

Utilizing the concepts introduced in the previous paper, estimates of the molecular-weight distribution obtained from these self-diffusion coefficients show reasonable agreement with values obtained from gel permeation chromatography.

In this paper, the probability density function (PDF) estimation is introduced in the framework of estimating the Nakagami fading parameter.

Moreover, a linear increase of the prediction error, including a memory term, is here assumed, but a more sophisticated (nonlinear, adaptive) algorithm can be introduced in the future to estimate better the raise of the prediction error in time.

The method, known as wavelet-based density estimation (WBDE), was previously introduced in the statistical literature to estimate probability densities given a finite number of independent measurements.

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