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In a practical situation, when image parameters are unknown, a Generalized LRT (GLRT) is proposed based on a local linear parametric model of samples.
So it is meaningful to study the kinetics model of samples especially at higher carbon conversion stage, and this is important for practice application with the purpose to achieve complete conversion of carbon.
Lastly, the use of a linear parametric model of samples is used to estimate unknown parameters and design a test which can be used when no information on cover medium is available.
The final thickness and optical properties are fitted and evaluated to minimize the root-mean-square error (RMSE) which follows: mathrm{RMSE}=sqrt{frac{1}{2N-M-1}{sum}_{i=1}^Nleft[{left({psi}_i^{mathrm{cal}}-{psi}_i^{mathrm{exp}}right)}^2+{left({varDelta}_i^{mathrm{cal}}-{varDelta}_i^{mathrm{exp}}right)}^2right]} (5) Fig. 5 Optical model of samples grown on SiO2/Si substrate for SE analysis.
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The purpose of this paper is to propose a sampling theorem for the FRFT, which can provide a suitable and realistic model of sampling and reconstruction for real applications.
Therefore, Heckman used a two-step procedure to correct the bias in the estimation of the outcome equation by explicitly using information gained from the model of sample selection.
This is based on a logistical model of sampling cost parameterized from a recent survey of soil in County Donegal, Ireland and on statistical parameters estimated with the aid of a process model for change in soil organic carbon.
The effect of the limited number of reads was observed in our model of sampling error.
We also measure the statistical significance of the obtained EC scores using the standard model of sampling without replacement, as proposed by Kuchaiev et al.
The curing process Design Space was explored by statistical modeling of samples obtained from the first batch.
Thus, the model may not be suitable for making multiple horizons forecasting or model out-of sample tests except in situations where bootstrapping methods are utilised.
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Justyna Jupowicz-Kozak
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