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In this paper we develop an approach to this issue using a method based on the Girsanov measure transformation for jump processes to smooth the estimate of the sensitivity coefficients and make this estimation more accurate.
This superiority of ANN over other multi factorial approaches could make this estimation technique a very helpful tool for purification process.
This superiority of ANN over other multi factorial approaches could make this estimation technique a very helpful tool for fermentation monitoring and control.
Multicollinearity issues and a high number of regressors might make this estimation procedure unstable.
To make this estimation one gets where represents the marginal variance of noisy observations and.
To make this estimation more robust, cumulants of different order (mainly the second and the fourth order) can be used to identify such parts.
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This makes this estimation robust against illumination artifacts (such as shadows, which increase or decrease local illumination but do not affect local ratios so dramatically).
Observe that the LS coefficients are constants and can be precomputed and stored thus avoiding costly matrix multiplication and inverse operations and making this estimation scheme low in complexity.
In the configuration presented in Figure 2B,C the activity range of the NOT gate is almost fully covered by OUTPUT1, but for low OUTPUT1 values the activity is already decreasing; this effect can make the estimation of transfer function parameters difficult in real experiments, where the number of data points might be limited.
This makes the estimation of a practice population less appropriate for this age group, because the extrapolation to a larger group that never visits the general practitioner is not very useful.
However, a robust estimate of the variance of the estimated RR parameter was used and this makes the estimation results less dependent on the Poisson assumption than would be the case otherwise.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com