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Sample configurations and pricing are listed below.
Many artefacts could arise from the electron and X-ray scattering in the thin metal leaf and adjacent glass layers and from EDS detector – sample configurations and arrangements.
We will now explain how to obtain component values from sample configurations and how to select sample configurations based on a linear model of RF components in Section 2.2.3.
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Estimation variance is a measure of confidence in predictions and is a function of the form of the variogram, the sample configuration and the sample support.
Figure 2 Sketch of the CP-AFM measurements; left: setup at LGEP with the resiscope extension; right: detail of the sample configuration and biasing.
It is found that the performance of the devices is closely related to the choice of gate insulator material, the applied sample configuration and the order of layer deposition.
The CP-AFM details and more specifically the sample configuration and biasing are displayed in Figure 2. In case of horizontal SiNWs, the DC bias voltage was applied to the ITO pad, while for vertical SiNWs it was applied through the doped silicon wafer.
We then modify the importance sampling method of Griffiths and Tavaré (1994b) to obtain the probability of a sample configuration and to estimate the selection parameters by averaging over genealogies of the linked sites.
This scaled prediction interval can be used as a presurvey quality measure since it depends only on the sampling configuration and the variogram of the log-transformed variable.
The block correlation is the correlation between the block kriging prediction of a variable and the true spatial mean which it estimates, computed for a particular sampling configuration and block size over the stochastic model which underlies the kriging prediction.
We found that while estimating RF impairments for a full-factorial or screening design set is costly and time-consuming, estimating RF impairments for sample configurations are powerful and cost-effective, as shown in the Table 1.
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