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Specifically, the method optimally sets the sample size, the sampling frequency and the position of the control limits of the quality control charts as well as the number of kanban cards at any production stage, by jointly considering the mutual relations between the controllers.
Specifically, the proposed method optimally sets the sample size, the sampling frequency and the position of the control limits of the quality control charts as well as the number of kanban cards at any stage of production, by jointly considering the mutual relations between the controllers.
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If X has not been sampled, set the sample multiplexer to Y, sleep until X is ready, and sample X.
Setting: The sample of 503 subjects was recruited at two local outpatient clinics in Hong Kong.
The Cramér-Rao bound was chosen as a tool for setting the sample size for the three basic types of the state estimation, for filtering, prediction and smoothing.
Setting the sample two years in the past as opposed to one or three years is admittedly arbitrary.
In our current implementation, we set the sample size to 10%, for performance and scalability reasons.
On Easy-nLC 1000 UHPLC, set the sample loading and RP gradient method as follows.
We set the sample size N = 1000, and the simulation results are achieved by 20,000 Monte Carlo simulations.
Given the above, we set the sample size according to the Provisions for Drug Registration.
We set the sample size as the number of site patterns in the alignment.
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